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ML Research Scientist, Foundation Models - San Francisco California
Company: Wispr AI Location: San Francisco, California
Posted On: 05/19/2024
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.About Wispr: We've raised $25M 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.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 interactionsRequired 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 goalNice to have Knowledge/Skills, Education, And Experience
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