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Currently hiring for 7 jobs
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Machine Learning Engineer, Customer Success (Remote)
Weights & Biases
San Francisco, California
At Weights & Biases, our mission is to build the best developer tools for machine learning. We're hiring a Machine Learning Engineer - Customer Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. 

In this role, you'll be working with the most sophisticated ML teams in the world working on some of the toughest ML problems in computer vision, robotics, natural language processing, and more. Your responsibility will be to make their work easier with our tools. You'll have the opportunity to work with ML teams across multiple industries to uncover their ML needs, improve their ML workflow, explore how W&B fits into their environment, collaborate on projects, and educate them on the best practices of our product.

Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Customer Success, Support, Product and Engineering teams to own the technical onboarding and success of our customers, serving as the primary knowledge owner and face to our customers. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' machine learning workflows.

Weights & Biases is a series C company with over $200 million in funding. Our core users and enterprise customers are growing rapidly and we're facing exciting challenges ahead to keep up with growing demand and to create a platform that is essential to machine learning developers. Our customers range from small startups to enterprise companies including OpenAI, Insitro, Pandora, Toyota Research Institute, Lyft, Blue Cross Blue Shield and Qualcomm.

This is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world.

Responsibilities

    • Be an expert in implementing effective, robust, and reproducible machine learning pipelines for engineering teams using Weights & Biases tools
    • Effectively articulate best practices for instrumenting machine learning pipelines to our customers as a trusted advisor
    • Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of W&B in solving their problem
    • Provide customer training sessions, product demos, and workshops covering best practices & different solutions W&B offers to drive adoption
    • Partner with Customer Success Managers to create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)
    • Collaborate closely with Support, Product and Engineering teams to influence product roadmap based on customer feedback

Requirements

    • 2-3 years of relevant experience in a similar role
    • Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning
    • Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful
    • Excellent communication and presentation skills, both written and verbal
    • Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment
    • Ability to break down complex problems and resolve them through customer consultation and execution.
    • Experience with cloud platforms (AWS, GCP, Azure)
    • Experience with Linux/Unix

Strong Plus

    • Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray
    • Experience with hyperparameter optimization solutions
    • Experience with data engineering, MLOps and tools such as Docker and Kubernetes
    • Experience with data pipeline tools
    • Experience as an ML educator and/or building and executing customer training sessions, product demos and/or workshops at a SaaS company

Who this role is for

    • Passion for machine learning: You understand how exciting the ML space is and how quickly it's growing. You're excited to speak with industry leaders at the forefront of ML research and development
    • Outgoing and friendly: You'll love this role if you enjoy connecting with real users every day, helping them adopt the Weights & Biases platform, and answering all of their questions
    • Technically Savvy: You enjoy instrumenting models in PyTorch, Keras, and TensorFlow and understand complicated workflows
    • Autonomous and adaptable: You understand different companies have different workflows, and you're excited to solve these challenges
    • Curious and Driven: You want to understand future customers' ML workflow and prove how Weights & Biases will improve their day-to-day

Our benefits

    • ๐Ÿ๏ธ Flexible time off
    • ๐Ÿฉบ Medical, Dental, and Vision for employees and Family Coverage
    • ๐Ÿ  Remote first culture with in-office flexibility in San Francisco
    • ๐Ÿ’ต Home office budget with a new high-powered laptop
    • ๐Ÿฅ‡ Truly competitive salary and equity
    • ๐Ÿšผ 12 weeks of Parental leave (U.S. specific)
    • ๐Ÿ“ˆ 401(k) (U.S. specific)
    • Supplemental benefits may be available depending on your location
    • Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
Mid Level
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Machine Learning Engineer, Customer Success - German Speaking
Weights & Biases
London
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $200 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

Reporting to the VP of Customer Success, the MLE-CS II EMEA role will work with the most sophisticated ML teams in the world as they solve the toughest ML problems in computer vision, robotics, natural language processing, and more; you will make their work easier with our tools. This work will expose you to ML teams across multiple industries as you uncover their ML needs, improve their ML workflow, explore how W&B fits into their environment, collaborate on projects, and educate them on the best practices of our product.

The MLE - CS II EMEA will partner closely with Customer Success, Support, Product, and Engineering teams to own the technical onboarding and success of our customers, serving as the primary knowledge owner and face to our customers. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' machine learning workflows.

Responsibilities:

    • This is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world.
    • Be an expert in helping our customers leverage Weights & Biases for team collaboration and better visibility into their ML workflows.
    • Effectively articulate best practices for instrumenting machine learning pipelines to our customers as a trusted advisor
    • Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of W&B in solving their problem
    • Provide customer training sessions, product demos, and workshops covering best practices & different solutions W&B offers to drive adoption
    • Partner with Customer Success Managers to create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)
    • Collaborate closely with Support, Product and Engineering teams to influence product roadmap based on customer feedback

Requirements:

    • Fluent in German
    • Experience using one or more of the following packages: PyTorch, PyTorch Lightning, TensorFlow/Keras, FastAI, Scikit-Learn, Huggingface
    • Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful
    • Experience in a customer facing technical role (Solutions Engineering, Technical Account Management, etc)
    • Excellent communication and presentation skills, both written and verbal
    • Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment
    • Ability to break down complex problems and resolve them through customer consultation and execution.
    • Experience with DevOps/ML pipeline orchestration tooling (Kubernetes, Docker, Kubeflow, Flyte, Metaflow, Airflow, etc.)
    • Experience with cloud platforms (AWS, GCP, Azure)
    • Experience with Linux/Unix

Our Benefits:

    • ๐Ÿ๏ธ Flexible time off
    • ๐Ÿฉบ Medical, Dental, and Vision for employees and Family Coverage
    • ๐Ÿ  Remote first culture with in-office flexibility in San Francisco
    • ๐Ÿ’ต Home office budget with a new high-powered laptop
    • ๐Ÿฅ‡ Truly competitive salary and equity
    • ๐Ÿšผ 12 weeks of Parental leave (U.S. specific)
    • ๐Ÿ“ˆ 401(k) (U.S. specific)
    • Supplemental benefits may be available depending on your location
    • Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
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Customer Support Engineer, Machine Learning - EMEA (Remote)
Weights & Biases
London
At Weights & Biases, our mission is to build the best developer tools for machine learning. ML engineers love using our tools day to day as a core part of their workflows, and our user base is growing quickly. We're hiring a Customer Support Engineer to help maintain world-class support as we grow.

Support is a deep part of our culture here at W&B. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product.

Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. In this role, you will act as the face of the company and the first line of support in EMEA time zones. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you.

Weights & Biases is a series C company with over $200 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions to massive enterprise teams including iRobot, Samsung, NVIDIA, Salesforce, GitHub, Blue Cross, Lyft, and more.

Responsibilities:

    • Quickly respond to all inbound support requests including email, live chat and community forums
    • Triage bugs and requests based on customer type and severity of issue
    • Track inbound and outbound responses to ensure contact SLAs are being met
    • Maintain a fast response time for entire user base
    • Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features
    • Recognize trends in user messages to help identify areas of improvement in internal or external documentation
    • Learn W&B product features and build up knowledge base to resolve issues on your own

Requirements:

    • 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects
    • Python expert
    • Experience in machine learning algorithms
    • Experience with object oriented programming, basic software development skills, basic unix commands, etc.
    • Experience using any of the following: Keras, Tensorboard, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools
    • A passion for connecting with real users and enabling them to be power users of the product
    • Good organization of assigned requests to oversee timely followup for every message
    • Work autonomously in a self-directed environment
    • Proactively find ways to improve processes and collaborate internally

    • Strong Plus if you have:
    • Have worked in a small stage startup previously
    • Customer service experience in a technical SaaS environment
    • Experience in frontend/backend frameworks

Our Benefits

    • ๐Ÿ๏ธ Flexible time off
    • ๐Ÿฉบ Medical, Dental, and Vision for employees and Family Coverage
    • ๐Ÿ  Remote first culture with in-office flexibility in San Francisco
    • ๐Ÿ’ต Home office budget with a new high-powered laptop
    • ๐Ÿฅ‡ Truly competitive salary and equity
    • ๐Ÿšผ 12 weeks of Parental leave (U.S. specific)
    • ๐Ÿ“ˆ 401(k) (U.S. specific)
    • Supplemental benefits may be available depending on your location
    • Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description. Team members who love to learn and collaborate in an inclusive environment will flourish here. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
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Engineering Manager - Machine Learning Workflows (Remote)
Weights & Biases
San Francisco, California
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

We are hiring an engineering manager to lead the development of our next-generation enterprise-grade model and data management product. In this role, you will be responsible for building and overseeing a team of talented engineers, guiding architectural decisions, and working closely with the product team to make sure we build the most critical features for our customers.

Responsibilities

    • Collaborate with product managers, designers, and other stakeholders to define product requirements, scope, and milestones.
    • Drive the development of key product features, such as fine-grain access control mechanisms, workflow automations, and scaling performance limitations.
    • Provide technical guidance and mentorship to the team, ensuring high-quality code, architectural integrity, and scalability.
    • Work closely with customers to gather feedback, understand pain points, and iterate on the product roadmap.
    • Mentor and provide feedback to engineers on the team, fostering a culture of collaboration, innovation, and continuous learning.

Requirements

    • Proven experience (5+ years) in software engineering, with a strong background in building and delivering complex software products.
    • Previous experience (2+ years) in a leadership or managerial role, with a track record of effectively managing and growing engineering teams.
    • Previous experience building ML based products or building tools for ML teams.
    • Deep technical expertise in areas such as high performance computing, model deployment, and data management.
    • Excellent communication and interpersonal skills, with the ability to collaborate across functions and present technical information to non-technical stakeholders.
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
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Growth Machine Learning Engineer, Generative AI (Remote)
Weights & Biases
San Francisco, California
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

Reporting to the Director of Growth ML, you will join the Growth ML team in building Generative AI examples, training ML models, and creating engaging, educational technical content for our blog, webinars, and social media that showcase Weights & Biasesโ€™ developer tools and drive new user growth.

The Growth ML team maintains the open-source integrations that tens of thousands of ML Engineers use daily. We write technical blog posts, create the AI courses which tens of thousands have participants have now taken, and host educational webinars where we teach the community about new Generative AI model training techniques, ML frameworks, and how to apply ML to in different use cases.

The Growth ML team also works closely with the Product and Engineering team to provide feedback and test early prototypes for our new developer tools features such as LLM Monitoring and Traces.

At Weights & Biases, we love building powerful developer tools, delighting our users, and being close to the center of the evolution of Generative AI and machine learning. If you are passionate about LLMs and Generative AI and spend your free time keeping up to date with LLM Twitter or hanging out in LLM training discords weโ€™d love you to apply!

Responsibilities

    • Drive new user growth for Weights & Biasesโ€™ developer tools through content creation, community engagement, education and code
    • Author and promote engaging Generative AI focussed blog posts and code examples that showcase the capabilities of Weights & Biases
    • Build and maintain both our Generative AI and deep-learning open-source integrations which tens of thousands of ML Engineers use daily
    • Engage daily with the Generative AI, machine learning and software engineering community on Twitter, LinkedIn and Discord
    • Host educational webinars and occasionally travel to meetups and conferences
    • Collaborate occasionally with our Product team to provide product feedback and test early prototypes for our new LLM features such as LLM Monitoring and Traces

Requirements

    • 3+ years industry experience in software engineering or ML model development on a machine learning team in a production environment
    • Have written blog posts and/or social media threads that explore and push the limits of open or closed source LLMs such as Llama, GPT4, Claude, etc
    • Experience pre-training and/or fine-tuning LLMs at the 1b+ scale
    • Willingness to try new things, document and learn from them, and iterate quickly
    • Ability to work autonomously in the self-directed, fast-paced environment of a startup
    • A curious mind and a proactive, kind, and collaborative approach to your work

Why Join Us?

    • Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, MetaAI, Cohere, Anthropic, MosaicML, StabilityAI, MidJourney, Replit, Epic Games and many more
    • You'll never stop learning. This role requires you to stay on top of the rapidly-developing world of Generative AI, understand problems these developers will face and create content to help them
    • Our experienced founding team has deep knowledge of our industry, empathy for our users and has successfully built and sold ML developer tools in the past at Figure Eight
    • Users genuinely benefit from our tool - virtually all of the top open and closed source LLMs and text to images models released to date were trained using Weights & Biases.

Our Benefits

    • ๐Ÿ๏ธ Flexible time off
    • ๐Ÿฉบ Medical, Dental, and Vision for employees and Family Coverage
    • ๐Ÿ  Remote first culture with in-office flexibility in San Francisco
    • ๐Ÿ’ต Home office budget with a new high-powered laptop
    • ๐Ÿฅ‡ Truly competitive salary and equity
    • ๐Ÿšผ 12 weeks of Parental leave (U.S. specific)
    • ๐Ÿ“ˆ 401(k) (U.S. specific)
    • Supplemental benefits may be available depending on your location
    • Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
Mid Level
Generative Models
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Software Engineer, Machine Learning SDK - US (Remote)
Weights & Biases
San Francisco, California
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

The Machine Learning Software Engineer, reporting to the SDK Team Manager, will be responsible for building the software development kit (SDK) which helps our users accelerate their machine learning projects and build better models faster.  The role involves exploring the pain points experienced by Machine Learning Engineers who are building state-of-the-art models, designing solutions to address these issues, and implementing efficient and intuitive interfaces which integrate cleanly into the latest Machine Learning frameworks.  The role involves working at the intersection of software development, machine learning, and novel product development.

Responsibilities

    • Collaborate with senior engineers to design and build a multi-platform / multi-language Machine Learning SDK in a public github repository
    • Build out support for advanced machine learning workflows, such as distributed training
    • Build, extend, and enhance a highly reliable and performant data ingest SDK
    • Design thoughtful solutions to capture user issues in different client setups, and capture the pertinent info for debugging
    • Creatively improve on current features, and seek out ways to simplify the API and streamline the user experience
    • Improve CLI and SDK interfaces, implement new integrations with popular ML frameworks as they're released
    • Keep up with the latest trends in the ML world and leverage existing tools and frameworks whenever necessary

Requirements

    • Communication and collaboration on cross-functional projects
    • Creative problem solving, and a willingness to dig into details
    • 4+ years of professional software development, especially in Python
    • Experience contributing to architecture and systems design
    • Experience with ML frameworks such as PyTorch or TensorFlow

Our Benefits

    • ๐Ÿ๏ธ Flexible time off
    • ๐Ÿฉบ Medical, Dental, and Vision for employees and Family Coverage
    • ๐Ÿ  Remote first culture with in-office flexibility in San Francisco
    • ๐Ÿ’ต Home office budget with a new high-powered laptop
    • ๐Ÿฅ‡ Truly competitive salary and equity
    • ๐Ÿšผ 12 weeks of Parental leave (U.S. specific)
    • ๐Ÿ“ˆ 401(k) (U.S. specific)
    • Supplemental benefits may be available depending on your location
    • Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
Mid Level
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Senior Software Engineer, Machine Learning Workflows (Remote)
Weights & Biases
San Francisco, California
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

We are hiring a software engineer for the Machine Learning Workflows team to build an end-to-end platform for current and future ML workloads.

In this role, you will own building new products that connect various stages of the machine learning lifecycle. You will have the opportunity to work directly with state-of-the-art ML organizations and ship features that will be used in cutting-edge research. You will be expected to tackle some key problems in ML operations today such as dataset management, model governance, and compute orchestration.

Responsibilities

    • Design and build new products that reshape how ML engineers interact with their datasets and models
    • Scale APIs and systems to support enterprise-level ML workloads and datasets
    • Implement automation to assist ML engineers in finding optimal hyperparameters or run an inference job when training is finished
    • Focus on our end users and listen to customer feedback in order to deliver value
    • Keep up with the latest trends in the ML world and leverage existing tools and frameworks whenever necessary

Requirements

    • Ability to synthesize complex requirements into concrete features and milestones
    • Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Go, Python, Typescript, etc)
    • Experience in building ML or data systems (Kubeflow, TFX, MLFlow)
    • Basic understanding of ML algorithms or familiarity with some ML framework (PyTorch, Tensorflow, HuggingFace, LangChain)
    • Experience with cloud platforms and technologies (AWS, GCP, Kubernetes, etc)

Why join us?

    • Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora.
    • You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.
    • Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight, and their deep knowledge of our industry, empathy for our users, and skillful management is driving W&B to success.
    • Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: "W&B allows to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them."

Benefits

    • ๐Ÿ๏ธ Flexible time off
    • ๐Ÿฉบ Medical, Dental, and Vision for employees and Family Coverage
    • ๐Ÿ  Remote first culture with in-office flexibility in San Francisco
    • ๐Ÿ’ต Home office budget with a new high-powered laptop
    • ๐Ÿฅ‡ Truly competitive salary and equity
    • ๐Ÿšผ 12 weeks of Parental leave (U.S. specific)
    • ๐Ÿ“ˆ 401(k) (U.S. specific)
    • Supplemental benefits may be available depending on your location
    • Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote
Full-time
Senior