Metric Bio

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 levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesMedical 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-$185,000.00 2 weeks ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 2 weeks ago Palo Alto, CA $2,000.00-$2,500.00 2 weeks ago Data Scientist, Analytics - Safety Response San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $118,657.00-$187,200.00 3 days ago San Francisco, CA $140,000.00-$235,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Jose, CA $130,000.00-$200,000.00 1 week ago San Jose, CA $93,200.00-$170,600.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000. months ago Research Engineer - Machine Learning (ML) San Francisco, CA $180,000.00-$240,000.00 3 weeks ago Mountain View, CA $125,400.00-$188,100.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $160,000.00-$185,000.00 5 days ago Mountain View, CA $152,000.00-$228,000.00 2 weeks ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Machine Learning Engineer - Biological Foundation Models Metric Bio has partnered with a venture-backed biotech at the intersection of AI and cell biology. This team is building foundation models on trillion-token scale biological datasets to reimagine how we create cell therapies. This is a role for someone who doesn't just apply existing methods but creates new ones; first-author researchers, system builders, and innovators who want their work to drive real therapeutic impact. Responsibilities: Design and optimize foundation models for single-cell and multi-omics data, leveraging transformer and generative architectures. Build scalable distributed pipelines (multi-GPU training, trillion-token inference) to push biology into true foundation-scale. Collaborate closely with computational biologists and wet-lab teams, ensuring models produce interpretable, biologically meaningful outputs. Prototype and deploy novel architectures tailored to biological data, with the freedom to shape strategy and direction. Requirements: First-author publications in top-tier ML/biology journals. 6+ years of experience in ML, deep learning, or foundation models (academic or industry). Proven expertise with transformers, diffusion, or generative models. Strong Python + PyTorch/TensorFlow engineering skills; ability to move from research prototype production. Background in single-cell or omics data is ideal, but ML-first innovators who can quickly learn the biology are very welcome. Track record of innovation: new methods, impactful papers, or deployed ML systems. What We Offer: Technical leadership opportunity at a mission-driven company that has recently secured over $50M in funding. Work alongside top talent at the cutting edge of AI x biology. Chance to impact millions of lives by redefining how cell therapies are developed. Competitive compensation and benefits, with an emphasis on urgency, collaboration, and innovation.