Job Details

Staff Machine Learning Engineer

  2025-11-17     Metric Bio     San Francisco,CA  
Description:

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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