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Currently hiring for 4 jobs
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ML Research Scientist
Wispr AI
San Francisco
Wispr is building a more natural way to interact with technology with neural interfaces. We have an elite team of engineers, product designers, and research scientists building magic.

We've raised 14.6M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

We're hiring in SF Bay Area / Remote.

As part of our ML research team at Wispr, you will work closely with neuroscientists and ML engineers to design algorithms to decode EMG and other neural signals. You will design experiments for large-scale data collection, investigate & understand deep learning architectures, and invent novel techniques for processing neural signals. These may include unsupervised pre-training, semi-supervised learning, synthetic data, multi-modal feature extraction, and more.

Come join us and make magic happen.

Core Job Responsibilities

    • Design and improve deep learning architectures for neural signals from novel hardware
    • Scale up data collection and run experiments on large datasets
    • Setup best practices for ML research and set company-wide benchmarks to test models
    • Explore and invent novel ways to decode neural signals with low latency
    • Collaborate with neuroscientists, ML engineers, and interaction designers to unlock new capabilities to design the most natural and seamless human-computer interactions

Required Knowledge/Skills, Education, And Experience

    • Ph.D. in computer science, machine learning, or related engineering field
    • 3+ years of hands-on research experience in machine learning (in academia or industry)
    • Strong research/publication track record
    • Experience in Python and deep learning libraries (Pytorch, Numpy, Pandas, etc.)
    • Experience with cloud computing (e.g. AWS)
    • Experience working collaboratively with teams: we believe in working collectively towards a common goal

Nice to have Knowledge/Skills, Education, And Experience

    • Experience working with bio-signals (EMG, EEG, EKG, etc), medical devices, or real-world noisy data (eg. self-driving cars)
    • Experience with novel methods for increasing model performance - including leveraging synthetic data, unsupervised pre-training, etc.
    • Experience working on ASR systems, NLP
    • Research in a deep tech company or special projects group
$145,000 - $215,000 a year
The compensation band is an estimate and depends on experience. The total compensation for this position may also include stock options and relocation reimbursements.


Why Wispr?
• Do the best work of your life
• Design the next generation of personal computing in a creative, innovative, and collaborative environment.
• Work closely with a world-class team.
• Flexible work arrangements to support you in working in the way that you work best.


For full-time employees:
• Generous health, dental, and vision coverage
• Generous parental leave, unlimited PTO (we encourage taking days off!)
• 401k match
• Commuter benefits
• Relocation assistance
• Total compensation for this position may also include stock options and other potential future incentives


At Wispr, diversity is important to us.

At Wispr, we believe that true innovation starts with people from diverse backgrounds coming together, bridging ideas, and collaborating. Wispr is proud to be an Equal Employment Opportunity employer and is committed to providing an environment of mutual respect where employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.
Full-time
Mid Level
Deep Learning
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ML Research Engineer
Wispr AI
San Francisco
Wispr is building a more natural way to interact with technology with neural interfaces. We have an elite team of engineers, product designers, and research scientists building magic.

We've raised 14.6M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

We're hiring in SF Bay Area / Remote.

As a machine learning engineer at Wispr, your work closely with neuroscientists and machine learning engineers to design the research platform to process surface electromyography (EMG) and other neural signals. You will be developing cloud infrastructure for streaming and offline processing of data, designing visualization tools to rapidly ask and answer research questions, and developing machine learning training infrastructure for rapidly testing and deploying new models.

Come join us and make magic happen.

Core Job Responsibilities

    • Collaborate with neuroscientists, machine learning experts and user researchers to unlock and perfect new capabilities to build interactions upon
    • Build cloud infrastructure for streaming datasets and doing offline processing, including APIs etc for accessing the data
    • Design research platform, including desktop application for interacting with streaming data and offline applications for visualizing and interpreting data
    • Write clean and performant code to train ML models, focusing on throughput, stability, and ML metrics
    • Build data warehousing and versioning infrastructure, ways to track ML model versions
    • Setup testing, best engineering practices for the research engineering team

Required Knowledge/Skills, Education, And Experience

    • MS or BS in computer science, machine learning or related engineering field
    • 3+ years hands-on relevant engineering experience in data engineering or machine learning engineering
    • Experience setting up data processing / ML pipelines and infrastructure, ideally for a research-based environment.
    • Proficient in Python and machine learning libraries (SciKit-learn, SciPy, NumPy)
    • Experience with cloud computing (AWS, Google Cloud)
    • Experience with open-source and commercial products in the Data/MLOps and cloud infrastructure space. e.g. Docker, Kubernetes, AWS, GCP, Airflow.
    • Organized, self-directed, efficient and able to manage priorities and expectations
    • Experience working collaboratively with teams: we believe in working collectively towards a common goal

Nice to have Knowledge/Skills, Education, And Experience

    • Experience working with bio-signals (EMG, EEG, EKG, etc), medical devices, or real world noisy data
    • Experience working on data pipelines for speech recognition, audio data, generative models, or NLP
    • Experience with deep learning frameworks (PyTorch, Tensorflow)
$145,000 - $215,000 a year
The compensation band is an estimate and depends on experience. The total compensation for this position may also include stock options and relocation reimbursements.


Why Wispr?
• Do the best work of your life
• Design the next generation of personal computing in a creative, innovative, and collaborative environment.
• Work closely with a world-class team.
• Flexible work arrangements to support you in working in the way that you work best.


For full-time employees:
• Generous health, dental, and vision coverage
• Generous parental leave, unlimited PTO (we encourage taking days off!)
• 401k match
• Commuter benefits
• Relocation assistance
• Total compensation for this position may also include stock options and other potential future incentives


At Wispr, diversity is important to us.

At Wispr, we believe that true innovation starts with people from diverse backgrounds coming together, bridging ideas, and collaborating. Wispr is proud to be an Equal Employment Opportunity employer and is committed to providing an environment of mutual respect where employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.
Full-time
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0-1 Software Engineer
Wispr AI
San Francisco
Wispr is building a more natural way to interact with technology with neural interfaces. We have an elite team of engineers, product designers, and research scientists building magic.

We've raised 14.6M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

We're hiring in SF Bay Area / Remote.

As a software engineer at Wispr, you'll build the software platform for the next generation of consumer electronics. You'll be working across the stack (frontend, backend, mobile, occasional dev-ops). Hard requirement: Send us your best personal projects.

We value being action-biased and a hacker mindset to build things quickly. We use the best and latest tools to get the job done. We maintain beautifully organized codebases with minimal technical debt. We work with a pragmatic outlook at the frontiers of technology, bringing it to the hands of millions of people. If that interests you, drop us a note.

Let's build magic.

Core Job Responsibilities

    • Build Wispr's software platform across devices
    • Iterate fast with user feedback to build sticky experiences
    • Setup best engineering practices (testing, abstractions, design docs)
    • Build software for the latest Wispr hardware as it rolls off the press

Required Knowledge/Skills, Education, And Experience

    • Built full-stack personal projects or contributed to open source (send your best)
    • Care towards code quality and UX
    • MS or BS in computer science or related engineering field
    • Proficient in Python, React, AWS (or equivalent)
    • Strong programming practices and high-throughput of code across the stack
    • Outstanding team player and communicator

Nice to have Knowledge/Skills, Education, And Experience

    • Low level systems hacking experience, parallel programming experience
    • Experience working on data pipelines for ML
    • Experience with audio, bio-signals, or NLP
    • Experience with data science, visualizations, and ML
$120,000 - $200,000 a year
The compensation band is an estimate and depends on experience. The total compensation for this position may also include stock options and relocation reimbursements.


Why Wispr?
• Do the best work of your life
• Design the next generation of personal computing in a creative, innovative, and collaborative environment.
• Work closely with a world-class team.
• Flexible work arrangements to support you in working in the way that you work best.


For full-time employees:
• Generous health, dental, and vision coverage
• Generous parental leave, unlimited PTO (we encourage taking days off!)
• 401k match
• Commuter benefits
• Relocation assistance
• Total compensation for this position may also include stock options and other potential future incentives


At Wispr, diversity is important to us.

At Wispr, we believe that true innovation starts with people from diverse backgrounds coming together, bridging ideas, and collaborating. Wispr is proud to be an Equal Employment Opportunity employer and is committed to providing an environment of mutual respect where employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.
Full-time
Junior
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ML Research Engineer, Foundation Models
Wispr AI
San Francisco
Wispr is building a more natural way to interact with technology with neural interfaces. We have an elite team of engineers, product designers, and research scientists building magic.

We've raised 14.6M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

We're hiring in SF Bay Area / Remote.

As a part of Wispr's ML team, you will build foundation models that transform human-machine interaction.

Your role will include the research and development of core ML models, setting up the infrastructure to experiment, metrics to measure success, drive data curation, and more. You will be working closely with research scientists and Wispr's product team to test the models in real-world environments. Your work may touch upon unsupervised pre-training, semi-supervised learning, synthetic data generation, multi-modal feature extraction, and more.

Let's build magic.

Core Job Responsibilities

    • Design and improve deep learning architectures for neural signals from novel hardware
    • Scale up data collection and run experiments on large datasets
    • Setup best practices for ML research and set company-wide benchmarks to test models
    • Explore and invent novel ways to decode neural signals with low latency
    • Collaborate with neuroscientists, ML engineers, and interaction designers to unlock new capabilities to design the most natural and seamless human-computer interactions

Required Knowledge/Skills, Education, And Experience

    • MS or Ph.D. in computer science, machine learning, or related engineering field
    • 3+ years of hands-on research experience in machine learning (in academia or industry)
    • Strong research/publication track record
    • Experience in Python and deep learning libraries (Pytorch, Numpy, Pandas, etc.)
    • Hands on experience with cloud computing (e.g. AWS)
    • Outstanding team player and communicator

Nice to have Knowledge/Skills, Education, And Experience

    • Hands on experience building foundation models from scratch
    • Contributing to open source ML libraries
    • Experience working with bio-signals (EMG, EEG, EKG, etc), or real-world noisy data (eg. self-driving cars)
    • Experience with novel methods for increasing model performance - including leveraging synthetic data, unsupervised pre-training, etc.
    • Experience working on ASR or NLP systems
    • Research in a deep tech company or special projects group
$145,000 - $214,998 a year
The compensation band is an estimate and depends on experience. The total compensation for this position may also include stock options and relocation reimbursements.


Why Wispr?
• Do the best work of your life
• Design the next generation of personal computing in a creative, innovative, and collaborative environment.
• Work closely with a world-class team.
• Flexible work arrangements to support you in working in the way that you work best.


For full-time employees:
• Generous health, dental, and vision coverage
• Generous parental leave, unlimited PTO (we encourage taking days off!)
• 401k match
• Commuter benefits
• Relocation assistance
• Total compensation for this position may also include stock options and other potential future incentives


At Wispr, diversity is important to us.

At Wispr, we believe that true innovation starts with people from diverse backgrounds coming together, bridging ideas, and collaborating. Wispr is proud to be an Equal Employment Opportunity employer and is committed to providing an environment of mutual respect where employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.
Full-time
Mid Level
Deep Learning