Staff Machine Learning Engineer (San Francisco)

This range is provided by Metric Bio. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $400,000.00/yr

Direct message the job poster from Metric Bio

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.

The Opportunity:

As a Staff ML Engineer, you will:

• 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

What You will Bring:

• 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

For senior ML engineers seeking to apply their skills to one of the most meaningful challenges in technology today, this represents a career-defining opportunity.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Medical Equipment Manufacturing

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