Lead Machine Learning Engineer (Modeling)
We are a well-funded ($50M Series B) Biotech startup headquartered in San Francisco. Founded by theoretical physicists, our technology is utilizing AI and statistical modeling to create digital twins for clinical healthcare trials.
We are seeking Lead Machine Learning Engineer (Modeling) who will be working with a hugely bright team from top universities (Stanford, Berkley & MIT) to build state-of-the-art ML modeling systems. An ideal candidate is someone who has extensive experience using ML frameworks such as TensorFlow and PyTorch as well as a familiarity with MLOps, deployment, and modeling.
What we can offer as a Lead Machine Learning Engineer (Modeling)
· A competitive base + salary + equity
· Flexible work environment
· The ability to create and shape the future of biotechnology
Key skills: (Masters or Ph.D.), Machine Learning, Reinforcement learning, NLP, PyTorch, TensorFlow, mathematics (stats, linear or algebra), AWS, HPC, and Distributed systems.