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Metric Bio

Staff Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$168,439 / year median in California

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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 Referrals increase your chances of interviewing at Metric Bio by 2x Sign in to set job alerts for Machine Learning Engineer roles. AI/ML Engineer (Multiple roles and seniority levels) Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00
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Benefits

  • Dental Insurance