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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $220,000.00/yr - $240,000.00/yr Direct message the job poster from Harnham Location: San Francisco, CA (Hybrid or Remote Flexibility Available) Company Overview Working with a mission-driven biotech startup that is leveraging advanced ML/AI technologies to develop cancer therapies. Why Join Us? Help shape a high-growth startup in a high-impact therapeutic space. Be a key contributor to an early-stage company working on real-world cancer solutions. Work alongside a technically excellent and mission-aligned team. Join a culture that values collaboration, humility, and clear communication. Role Summary As a Machine Learning Engineer, you will lead the development and maintenance of the ML infrastructure powering large-scale model training and inference workflows. You'll work on scalable, distributed systems and seamless model experimentation. You'll also contribute directly to the ML codebase and help establish best practices for observability and performance. Key Responsibilities Build, maintain, and operate cloud-based GPU clusters (primarily AWS). Develop and manage systems for distributed training and scalable inference of ML models. Collaborate with ML researchers and software engineers to design a flexible and robust ML Platform. Create tools and systems to enable fast analysis and inspection of large-scale model outputs. Debug, optimize, and contribute to core ML pipelines and codebases. Ensure observability, reproducibility, and stability of ML infrastructure and workflows. Qualifications Required Experience 2+ years of industry experience in ML infrastructure or similar roles. Proven track record managing large-scale GPU clusters in the cloud. Strong experience with AWS (SageMaker experience a plus). Hands-on experience with container orchestration (Kubernetes). Experience with PyTorch and deploying models at inference scale. Preferred Experience with distributed ML frameworks (e.g., Ray). Familiarity with data loader optimization and performance tuning. Exposure to biotech, life sciences, or healthcare domains. Compensation Expected base salary in the 220-240k range + meaningful equity Flexible work environment (remote/hybrid options). Generous benefits, including health, dental, and vision. Apply now to help build the future of cancer therapeutics with cutting-edge ML. Let me know if you'd like a version tailored for a job board (like LinkedIn or AngelList), or one formatted for internal HR use. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Science and Engineering Industries Biotechnology Research and Pharmaceutical Manufacturing Referrals increase your chances of interviewing at Harnham by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . Machine Learning Engineer, Core Engineering Software Engineer, Python - AI Training (Freelance, Remote) Software Engineer - AI Training (Freelance, Remote) Software Engineer, SQL - AI Training (Freelance, Remote) San Francisco, CA $172,000.00-$203,000.00 3 weeks ago Software Engineer - ML Platform (Staff / Sr Staff) Machine Learning Scientist (Staff / Sr Staff) - Power Markets San Francisco, CA $140,000.00-$195,000.00 3 weeks ago Brisbane, CA $161,000.00-$185,000.00 4 days ago Software Engineer Internship (12 months) Senior Software Engineer - Front End (Remote) Staff Software Engineer - Front End (Remote) San Francisco, CA $185,000.00-$285,000.00 5 days ago San Francisco, CA $140,000.00-$170,000.00 2 months ago San Francisco, CA $220,000.00-$258,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr