Staff Machine Learning Engineer

Metric Bio; San Francisco (CA); On-site; USD 100,000 - 400,000; Full time

Job summary

A neurotechnology firm is seeking a Staff Machine Learning Engineer to develop cutting-edge algorithms and ML systems for a brain-computer interface platform. In this role, you will collaborate with leading experts and contribute to impactful, FDA-regulated medical devices. Candidates should have significant experience in machine learning and a passion for clinical applications, with a competitive salary range of $100,000 to $400,000 per year.

Qualifications

• Advanced expertise in machine learning and signal processing required.
• Experience deploying production ML systems with strict latency requirements.
• Strong Python skills and knowledge in cloud infrastructure.

Responsibilities

• Develop novel algorithms for real-time neural signal decoding.
• Architect ML systems processing high-dimensional neural data.
• Collaborate with clinical teams to validate models.

Skills

Machine Learning (RNNs, LSTMs, CNNs)

Signal Processing

Python (PyTorch/TensorFlow)

Cloud Infrastructure Knowledge

Job 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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