EPM Scientific
Founding Machine Learning Scientist
EPM Scientific, San Francisco, California, United States, 94199
Overview
Vice President - AI/ML at EPM Scientific Founding Machine Learning Scientist Backed by leading investors, including a Midas List venture capitalist, founders, early engineers & executives from Meta and Google. A stealth-stage biotech is building the core technology to power a new generation of protein therapeutics. The team combines deep expertise in cutting-edge AI research and generative modeling, including contributors to foundational work in probabilistic methods and large-scale model training. The team is guided by globally recognized AI and computational science experts. This is a chance to work alongside people who have shaped the state of the art on problems at the intersection of machine learning and biology. The company combines generative machine learning with high-throughput biological experimentation to design programmable proteins that act precisely in disease-relevant contexts. This is an opportunity to join as one of the first 10 employees and shape the technical foundation of a company aiming to redefine drug discovery. Key Responsibilities
Own core ML components from research to production, working closely with a cross-disciplinary team of AI researchers and drug discovery scientists. Implement
closed-loop training paradigms
integrated with high-throughput wet-lab experimentation. Develop and scale
training and inference pipelines
across thousands of GPUs using Ray, Anyscale, and cloud platforms (AWS, GCP). Establish
rigorous validation and benchmarking protocols . Ideal Profile
Background in
computer science, applied math, computational biology , or related quantitative field. 2+ years
building and running generative models. Strong problem-solving skills and ability to work across disciplines. Humble and eager to help colleagues. You do what it takes to help the team succeed. Bonus: Experience with
industrial-scale models
(LLMs, diffusion models, flow matching) and peer-reviewed ML publications and/or meaningful contributions to open-source ML libraries. Next steps
If you're interested in joining a
deep-tech team at the intersection of AI and biology
and want to work on
first-of-its-kind generative models for protein therapeutics , please apply. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research and Science Industries
Pharmaceutical Manufacturing, Research Services, and Biotechnology Research Get notified about new Machine Learning Researcher jobs in
San Francisco County, CA . San Francisco, CA
#J-18808-Ljbffr
Vice President - AI/ML at EPM Scientific Founding Machine Learning Scientist Backed by leading investors, including a Midas List venture capitalist, founders, early engineers & executives from Meta and Google. A stealth-stage biotech is building the core technology to power a new generation of protein therapeutics. The team combines deep expertise in cutting-edge AI research and generative modeling, including contributors to foundational work in probabilistic methods and large-scale model training. The team is guided by globally recognized AI and computational science experts. This is a chance to work alongside people who have shaped the state of the art on problems at the intersection of machine learning and biology. The company combines generative machine learning with high-throughput biological experimentation to design programmable proteins that act precisely in disease-relevant contexts. This is an opportunity to join as one of the first 10 employees and shape the technical foundation of a company aiming to redefine drug discovery. Key Responsibilities
Own core ML components from research to production, working closely with a cross-disciplinary team of AI researchers and drug discovery scientists. Implement
closed-loop training paradigms
integrated with high-throughput wet-lab experimentation. Develop and scale
training and inference pipelines
across thousands of GPUs using Ray, Anyscale, and cloud platforms (AWS, GCP). Establish
rigorous validation and benchmarking protocols . Ideal Profile
Background in
computer science, applied math, computational biology , or related quantitative field. 2+ years
building and running generative models. Strong problem-solving skills and ability to work across disciplines. Humble and eager to help colleagues. You do what it takes to help the team succeed. Bonus: Experience with
industrial-scale models
(LLMs, diffusion models, flow matching) and peer-reviewed ML publications and/or meaningful contributions to open-source ML libraries. Next steps
If you're interested in joining a
deep-tech team at the intersection of AI and biology
and want to work on
first-of-its-kind generative models for protein therapeutics , please apply. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research and Science Industries
Pharmaceutical Manufacturing, Research Services, and Biotechnology Research Get notified about new Machine Learning Researcher jobs in
San Francisco County, CA . San Francisco, CA
#J-18808-Ljbffr