Meet Life Sciences
Director of Machine Learning
Meet Life Sciences - San Francisco, California, United States, 94199
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Do not wait to apply after reading this description a high application volume is expected for this opportunity. This range is provided by Meet Life Sciences. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $250,000.00/yr - $275,000.00/yr Additional compensation types Annual Bonus Associate Recruiter - Medical Device, Biotech, & Pharma
Summary: We are working with a Medical Device organization looking for a Director of Machine Learning. If you're passionate about machine learning, neuroscience, and making a measurable difference in people’s lives, this is a unique opportunity to apply your skills in one of the most meaningful applications of AI today. Responsibilities: Own the machine learning roadmap and strategy Build and lead a growing team of engineers Collaborate with clinical teams to design ML systems grounded in real-world needs Develop scalable, auditable, and explainable models for interpreting neural signals Balance short-term deliverables with long-term R&D strategy Represent the ML function across leadership and cross-disciplinary initiatives Qualifications: Degree in Computer Science, Electrical Engineering, or similar 8+ years of experience in machine learning or applied research; 3+ years in a leadership role Proven track record in medical devices, defense, aerospace, or automotive industries Deep expertise in time series and high-dimensional signal data Strong track record of developing ML systems for complex, high-dimensional data Proficiency with modern ML tools and frameworks (e.g., PyTorch, TensorFlow) Experience in regulated tech (medical devices, robotics, etc.) Seniority level
Director Employment type
Full-time Job function
Medical Equipment Manufacturing Referrals increase your chances of interviewing at Meet Life Sciences by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Director of Machine Learning jobs in
San Francisco Bay Area . San Francisco, CA $265,000.00-$350,000.00 2 months ago Mountain View, CA $250,000.00-$300,000.00 1 month ago Mountain View, CA $250,000.00-$300,000.00 1 month ago San Francisco, CA $188,000.00-$320,000.00 3 weeks ago Mountain View, CA $250,000.00-$275,000.00 1 month ago Head of Artificial Intelligence - Top AI Agent Startup San Francisco Bay Area $300,000.00-$500,000.00 2 weeks ago Chief Executive Officer - AI & Startup Experience RequiredDirector, AI research - Hybrid from San Francisco, CA San Francisco, CA $250,000.00-$300,000.00 2 hours ago Palo Alto, CA $250,000.00-$320,000.00 2 weeks ago Senior Manager, Machine Learning Research Science San Mateo, CA $200,000.00-$250,000.00 7 months ago Director, Business Operations, RL Devices Sunnyvale, CA $218,000.00-$287,000.00 1 week ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $253,000.00-$314,000.00 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Do not wait to apply after reading this description a high application volume is expected for this opportunity. This range is provided by Meet Life Sciences. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $250,000.00/yr - $275,000.00/yr Additional compensation types Annual Bonus Associate Recruiter - Medical Device, Biotech, & Pharma
Summary: We are working with a Medical Device organization looking for a Director of Machine Learning. If you're passionate about machine learning, neuroscience, and making a measurable difference in people’s lives, this is a unique opportunity to apply your skills in one of the most meaningful applications of AI today. Responsibilities: Own the machine learning roadmap and strategy Build and lead a growing team of engineers Collaborate with clinical teams to design ML systems grounded in real-world needs Develop scalable, auditable, and explainable models for interpreting neural signals Balance short-term deliverables with long-term R&D strategy Represent the ML function across leadership and cross-disciplinary initiatives Qualifications: Degree in Computer Science, Electrical Engineering, or similar 8+ years of experience in machine learning or applied research; 3+ years in a leadership role Proven track record in medical devices, defense, aerospace, or automotive industries Deep expertise in time series and high-dimensional signal data Strong track record of developing ML systems for complex, high-dimensional data Proficiency with modern ML tools and frameworks (e.g., PyTorch, TensorFlow) Experience in regulated tech (medical devices, robotics, etc.) Seniority level
Director Employment type
Full-time Job function
Medical Equipment Manufacturing Referrals increase your chances of interviewing at Meet Life Sciences by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Director of Machine Learning jobs in
San Francisco Bay Area . San Francisco, CA $265,000.00-$350,000.00 2 months ago Mountain View, CA $250,000.00-$300,000.00 1 month ago Mountain View, CA $250,000.00-$300,000.00 1 month ago San Francisco, CA $188,000.00-$320,000.00 3 weeks ago Mountain View, CA $250,000.00-$275,000.00 1 month ago Head of Artificial Intelligence - Top AI Agent Startup San Francisco Bay Area $300,000.00-$500,000.00 2 weeks ago Chief Executive Officer - AI & Startup Experience RequiredDirector, AI research - Hybrid from San Francisco, CA San Francisco, CA $250,000.00-$300,000.00 2 hours ago Palo Alto, CA $250,000.00-$320,000.00 2 weeks ago Senior Manager, Machine Learning Research Science San Mateo, CA $200,000.00-$250,000.00 7 months ago Director, Business Operations, RL Devices Sunnyvale, CA $218,000.00-$287,000.00 1 week ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $253,000.00-$314,000.00 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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