AI Jobs Board
AI Jobs Board
Sponsor
AI Jobs at Hive
Currently hiring for 15 jobs
Logo
Machine Learning Engineer
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

    • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
    • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
    • You have 1-2 years industry machine learning experience
    • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
    • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
    • You know the ins and outs of Python, especially as it applies to the above ML frameworks
    • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
    • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
    • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
    • You have great communication skills and ability to work with others
    • You are a strong team player, with a do-whatever-it-takes attitude
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Mid Level
Deep Learning
Logo
Machine Learning Manager
Hive
San Francisco
About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Manager

In order to execute our vision, we're constantly growing our machine learning team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets. We’re interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.

Responsibilities

    • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
    • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
    • Participate in products technical design and architecture
    • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production
    • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
    • Implement and manage security protocols such as training, code review, and best practices
    • Own and manage the risk and security of your business function in coordination with the Security Team
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • Undergraduate or graduate degree in computer science or similar technical field
    • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
    • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
    • 2+ years experience managing machine learning teams
    • You have an ability to understand and make well-reasoned tradeoffs in designing features
    • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
    • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
    • Have experience collaborating with product managers and labeling team in delivering model improvements
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Senior
Logo
Staff Machine Learning Engineer
Hive
Seattle
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Staff Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

    • Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
    • Write and maintain scalable, performant code that can be shared across platforms
    • Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, and processes
    • Develop novel, accurate, and performant ML algorithms for use at scale
    • Conduct metric-driven research experiments to improve model performance
    • Provide mentorship to and help onboard ML engineers
    • Lead cross-functional collaboration with other teams
    • Contribute to defining strategic direction, planning the roadmap
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Minimum Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • You have 8+ years of experience building web applications
    • You have successfully implemented highly-available distributed systems/microservices
    • You have delivered scalable backend APIs
    • You have strong interpersonal and communication skills with a bias towards action
    • You have experience writing code and training across distributed systems
    • You have the ability to understand and make well-reasoned tradeoffs in designing features
    • You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
    • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
    • You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
    • You can lead end to end development of new products
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
Full-time
Senior
Deep Learning
Logo
Senior Machine Learning Engineer
Hive
Seattle
About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Senior Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

    • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
    • Write and maintain scalable, performant and secure code that can be shared across platforms
    • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, processes and security
    • Develop novel, accurate, and performant ML algorithms for use at scale
    • Conduct metric-driven research experiments to improve model performance
    • Provide mentorship to and help onboard junior ML engineers
    • Collaborate cross-functionally with other teams
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • You have a minimum of 5 years of building production scale ML models
    • You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow
    • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
    • You have experience writing code and training across distributed systems
    • You have an ability to understand and make well-reasoned tradeoffs in designing features
    • You can lead end to end development of new products
    • You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP
    • You strongly believe in high code quality, automated testing, and other engineering best practices
    • You have attention to detail and a passion for correctness
    • You are comfortable with ambiguity and scoping solutions with your teammates
    • You have strong interpersonal and communication skills with a bias towards action
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
Full-time
Senior
Logo
Senior Machine Learning Engineer
Hive
San Francisco
About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Senior Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

    • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
    • Write and maintain scalable, performant and secure code that can be shared across platforms
    • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, processes and security
    • Develop novel, accurate, and performant ML algorithms for use at scale
    • Conduct metric-driven research experiments to improve model performance
    • Provide mentorship to and help onboard junior ML engineers
    • Collaborate cross-functionally with other teams
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • You have a minimum of 5 years of building production scale ML models
    • You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow
    • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
    • You have experience writing code and training across distributed systems
    • You have an ability to understand and make well-reasoned tradeoffs in designing features
    • You can lead end to end development of new products
    • You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP
    • You strongly believe in high code quality, automated testing, and other engineering best practices
    • You have attention to detail and a passion for correctness
    • You are comfortable with ambiguity and scoping solutions with your teammates
    • You have strong interpersonal and communication skills with a bias towards action
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Senior
Logo
Staff Machine Learning Engineer
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Staff Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

    • Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
    • Write and maintain scalable, performant code that can be shared across platforms
    • Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, and processes
    • Develop novel, accurate, and performant ML algorithms for use at scale
    • Conduct metric-driven research experiments to improve model performance
    • Provide mentorship to and help onboard ML engineers
    • Lead cross-functional collaboration with other teams
    • Contribute to defining strategic direction, planning the roadmap
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Minimum Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • You have 8+ years of experience building web applications
    • You have successfully implemented highly-available distributed systems/microservices
    • You have delivered scalable backend APIs
    • You have strong interpersonal and communication skills with a bias towards action
    • You have experience writing code and training across distributed systems
    • You have the ability to understand and make well-reasoned tradeoffs in designing features
    • You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
    • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
    • You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
    • You can lead end to end development of new products
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Senior
Deep Learning
Logo
Sports, Media, and Marketing Manager
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive's technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Sports, Media, and Marketing Manager

You will play a critical role in driving the continued growth of our Sports, Media, and Marketing solution area, which provides a portfolio of AI-powered solutions to publishers, teams and leagues, brands, and agencies. The Sports, Media, and Marketing Manager will have responsibility for product, sales, and strategy across the solution area, and work closely with Hive’s senior leadership team. This is a cross-functional role that will involve day-to-day engagement across multiple internal teams as well as heavy interaction as the face of Hive to many of our most significant clients, partners, and prospects. The Sports, Media, and Marketing Manager is willing to do anything and everything needed to move the business forward.

Responsibilities

    • Lead overall revenue and customer growth in the Sports, Media, and Marketing solution area
    • Oversee sales and business development for the Sports, Media, and Marketing solution area, including day-to-day management of our internal sales team and external go-to-market partners as well as ownership of responses to large proposals
    • Work closely with Marketing and Design teams to develop effective product marketing materials and sales collateral (in coordination with Marketing and Design teams)
    • Build trusting relationships with priority clients and strategic partners, and lead sales calls and product demonstrations with key prospects in coordination with Sales team
    • Serve as the key business partner for relevant Product and Engineering teams, providing guidance to drive product design and development for Hive’s Sports, Media, and Marketing products
    • Oversee customer success for Sports, Media, and Marketing clients, including effective scoping and delivery of successful proofs of concepts / evaluations as well as ongoing client engagement with our products
    • Work closely with Hive’s senior leadership team to build and maintain alignment on business priorities
    • Contribute to external publications, whitepapers, newsletters, and blog posts
    • Attend industry functions and conferences to represent Hive and build relationships with prospective partners and clients
    • Provide ad hoc leadership on other special projects across Hive as required

Requirements

    • You have a Bachelor's degree from a 4-year university
    • Preferred: You have an MBA from a top graduate program
    • Preferred: You have 4 years of total work experience including at least 2-3 years of experience at a top management consulting firm or fast-growing software-based startup
    • You have passion for and, preferably, relevant work experience within sports, television, streaming, advertising, AI and machine learning, enterprise sales, product management, and software-as-a-service businesses
    • You are highly analytical, and demonstrate excellent written and verbal communication skills
    • You have demonstrated success in a competitive environment
    • You are highly self-motivated and ambitious in achieving goals
    • You are a capable manager and a strong team player, but can work and execute independently
    • You have a proven ability to work long workweeks when needed
    • You are driven. No one needs to push you to excel; that’s just who you are
    • You are hungry to learn and you actively look for opportunities to contribute
    • You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
Who We Are

We are a group of ambitious individuals who are passionate about creating a transformative AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in the world. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $130,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Mid Level
Logo
Engineering Manager
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Engineering Manager Role

In order to execute our vision, we're constantly growing our engineering team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects.  Our ideal candidate has experience managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.

Responsibilities

    • Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team
    • Lead a development team of highly capable and passionate engineers, helping them achieve their goals through mentorship
    • Participate in products technical design and architecture
    • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy
    • Drive delivery for our product milestones, continually releasing features and ensuring quality metrics are achieved
    • Implement and manage security protocols such as training, code review, and best practices
    • Own and manage the risk and security of your business function in coordination with the Security Team
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • Undergraduate or graduate degree in computer science or similar technical field
    • 4+ years experience developing software as an engineer, with experience in distributed systems and large scale application development a plus
    • 3+ years experience managing engineering teams. Familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etc
    • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
    • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
    • Have experience collaborating with product managers and QA in delivering product features
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Senior
Logo
Software Engineer - Backend
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Backend Engineer Role

In order to execute our vision, we need to grow our team of best-in-class engineers. We are looking for developers who are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code.

Responsibilities

    • Design, implement or improve features in a variety of backend systems including our REST APIs, microservices, data ingestion and processing systems, and distributed task/job processing systems
    • Write and maintain scalable, performant and secure code that can be shared across platforms
    • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, processes and security
    • Practice test-driven development
    • Debug production issues across services and multiple levels of the stack
    • Participate in on-call rotations, as needed, to ensure prompt and effective resolution of critical technical issues
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • You have a few years of experience building web applications
    • You have experience or a strong interest in writing applications in Node.js
    • You have experience implementing highly-available distributed systems/microservices
    • You have experience building scalable backend APIs
    • You have experience working with relational databases, Postgres preferred
    • Understanding monitoring and alerting platforms is a plus
    • You strongly believe in high code quality, automated testing, and other engineering best practices
    • You have attention to detail and a passion for correctness
    • You are comfortable learning new technologies and systems
    • You have strong interpersonal and communication skills with a bias towards action
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Mid Level
Logo
Staff Software Engineer - Backend
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Staff Software Engineer

In order to execute our vision, we need to grow our team of best-in-class engineers. We are looking for developers who are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code.

Responsibilities

    • Design, implement or improve features in a variety of backend systems including our REST APIs, microservices, data ingestion and processing systems, and distributed task/job processing systems
    • Write and maintain scalable, performant and secure code that can be shared across platforms
    • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, processes and security
    • Practice test-driven development
    • Debug production issues across services and multiple levels of the stack
    • Participate in on-call rotations, as needed, to ensure prompt and effective resolution of critical technical issues
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Minimum Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • You have 8+ years of experience building web applications
    • You have successfully implemented highly-available distributed systems/microservices
    • You have delivered scalable backend APIs
    • You have strong interpersonal and communication skills with a bias towards action

Preferred Requirements

    • Master’s degree or PhD in Engineering, Computer Science, or a related technical field
    • Hands on technical leadership experience leading project teams and setting technical direction
    • Experience architecting and developing solutions to ambiguous problems with significant impact
    • Interest and ability to learn other coding language
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Senior
Logo
Senior Software Engineer - Backend
Hive
San Francisco
About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Senior Software Engineer - Backend

In order to execute our vision, we need to grow our team of best-in-class engineers. We are looking for developers who are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code.

Responsibilities

    • Design, implement or improve features in a variety of backend systems including our REST APIs, microservices, data ingestion and processing systems, and distributed task/job processing systems
    • Write and maintain scalable, performant and secure code that can be shared across platforms
    • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
    • Improve engineering standards, tooling, processes and security
    • Practice test-driven development
    • Debug production issues across services and multiple levels of the stack
    • Participate in on-call rotations, as needed, to ensure prompt and effective resolution of critical technical issues
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have a Bachelor's Degree in computer science or a related field
    • A minimum of 5 years of experience with building scalable web applications
    • You have experience or a strong interest in writing applications in Node.js
    • You have designed and implemented highly-available distributed systems/microservices
    • You have experience building platforms that expose scalable backend APIs
    • You have deep experience working with relational databases, Postgres preferred
    • Understanding monitoring and alerting platforms is a plus
    • You strongly believe in high code quality, automated testing, and other engineering best practices
    • You have attention to detail and a passion for correctness
    • You are comfortable with ambiguity and scoping solutions with your teammates
    • You have strong interpersonal and communication skills with a bias towards action
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Senior
Logo
Systems Engineer / DevOps
Hive
San Francisco
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

DevOps and Systems Team

Our unique machine learning needs led us to open our own data centers, with an emphasis on GPU resources. Even with these data centers, we maintain a hybrid infrastructure into AWS to power some parts of our consumer apps. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Systems team to maintain the reliability of a SaaS offering for our customers. Our ideal candidate is someone who is able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in ensuring developers can deploy their servers without worrying about downtime.

Responsibilities

    • Automate manual operational processes
    • Improve workflows of developer, data, and machine learning teams
    • Manage integration and deployment tooling
    • Create, maintain, monitor, secure and audit infrastructure
    • Manage a diverse array of technology platforms, following best practices and procedures
    • Participate in on-call rotation and root cause analysis
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • Minimum 1 - 2 years of previous experience in development, operations, IT, or a related field
    • Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment
    • Able to multitask, prioritize, and manage time efficiently independently
    • Able to physically lift equipment at least 30 pounds
    • Can communicate effectively across teams and management levels
    • Degree in computer science, or similar, is an added plus!

Technology Stack

    • Operating Systems - Linux/Debian Family/Ubuntu
    • Configuration Management - Chef/Ansible/Puppet/Salt
    • Containerization - Docker
    • Container Orchestrators - Mesosphere/Kubernetes
    • Scripting Languages - Python/Ruby/Node/Bash
    • CI/CD Tools - Jenkins
    • Network hardware - Arista/Cisco/Fortinet
    • Hardware - HP/SuperMicro
    • Storage - Ceph, S3
    • Database - Scylla, Postgres, Pivotal GreenPlum
    • Message Brokers: RabbitMQ
    • Logging/Search - ELK Stack
    • AWS: VPC/EC2/IAM/S3
    • Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems, RAID, distributed file systems, NFS / iSCSI / CIFS
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Full-time
Mid Level
Logo
Frontend Engineer
Hive
Seattle
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Frontend Engineer

Frontend Engineers are an essential part of the Hive Data and Hive Enterprise products. Working closely with designers, product owners, and other engineers, we implement the user interfaces that define our core platforms. We leverage the latest web technologies such as React, Redux, Webpack, and ES6 to deliver innovative interfaces and rich user experiences. The team is small and fast moving, and you will be expected to iterate quickly and make software design decisions on product features. As a front-end engineer at Hive, your breadth of skills paired with our bottom-up product process will give you as much autonomy and responsibility as you can handle. We are looking for technically-strong teammates who are passionate about frontend technologies and thrive in a fast-paced environment.

Responsibilities

    • Build secure custom user interfaces using React (JavaScript)
    • Work with the design and product teams to develop new features that are focused on user experience
    • Actively participate in product decisions, ensuring we set reasonable development deadlines
    • Look for opportunities to improve team efficiency and work with your team to implement improvements
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have a Bachelor's degree in Computer Science or equivalent
    • You have at least 1 year of experience working in web development
    • You have experience working with 3rd party APIs and libraries
    • You have in-depth knowledge of JavaScript, HTML, CSS, and related web technologies
    • You have a good grasp of React and Redux (or similar frameworks) and the concepts behind it
    • You are capable of creating beautiful web products and have good UX sensibilities
    • You are eager to learn new technologies and share your knowledge with your teammates
    • You are receptive to feedback and always looking for opportunities to sharpen your skills
    • You have excellent communication skills and experience in collaborative environments
    • You write understandable, testable code with an eye towards maintainability and scalability
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
Full-time
Mid Level
Logo
Machine Learning Manager
Hive
Seattle
About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Manager

In order to execute our vision, we're constantly growing our machine learning team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets. We’re interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.

Responsibilities

    • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
    • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
    • Participate in products technical design and architecture
    • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
    • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
    • Implement and manage security protocols such as training, code review, and best practices
    • Own and manage the risk and security of your business function in coordination with the Security Team
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • Undergraduate or graduate degree in computer science or similar technical field
    • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
    • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
    • 2+ years experience managing machine learning teams
    • You have an ability to understand and make well-reasoned tradeoffs in designing features
    • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
    • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
    • Have experience collaborating with product managers and labeling team in delivering model improvements
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
Full-time
Senior
Logo
Machine Learning Engineer
Hive
Seattle
About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

    • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
    • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
    • Utilize OWASP top 10 techniques to secure code from vulnerabilities
    • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
    • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
    • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

    • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
    • You have 1-2 years industry machine learning experience
    • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
    • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
    • You know the ins and outs of Python, especially as it applies to the above ML frameworks
    • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
    • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
    • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
    • You have great communication skills and ability to work with others
    • You are a strong team player, with a do-whatever-it-takes attitude
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
Full-time
Mid Level