Staff Machine Learning Engineer
Metric Bio
San Francisco, CA, United States
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$100,000
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Cloud Computing
Python (Programming Language)
Machine Learning
Tensorflow
Signal Processing
Pytorch
Machine Learning Operations
Recurrent Neural Networks
Job description
- Develop novel algorithms for real-time neural signal decoding that will define industry standards
- Architect robust ML systems processing high-dimensional neural data at the edge
- Collaborate directly with clinical teams to validate models in real-world settings
- Contribute to an FDA-regulated medical device with immediate patient impact
Requirements
- Advanced expertise in machine learning (RNNs, LSTMs, CNNs) and signal processing (spike sorting, LFP/ECoG analysis)
- Experience deploying production ML systems with strict latency requirements
- Strong Python skills (PyTorch/TensorFlow) and cloud infrastructure knowledge
- A track record of technical excellence through publications, patents, or shipped products
- Passion for bridging AI research with clinical applications
About the company
Metric Bio is partnering with an elite neurotechnology company to recruit a Staff Machine Learning Engineer for their groundbreaking brain-computer interface (BCI) platform. This is an opportunity to join a team of world-renowned experts at the forefront of neurotechnology and AI.
About the Team:
You’ll be working alongside:
- Leading neuroscientists and neurosurgeons from top institutions
- Machine learning pioneers with publications in NeurIPS, ICML, and Nature journals
- Seasoned engineers from premier tech and medical device companies
- Together, this multidisciplinary team is translating cutting-edge research into clinical reality, with backing from top-tier investors ($155M+ funding) and partnerships with renowned medical centers.
Apply for this position
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Prepare application
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