Home
Jobs
EPM Scientific
Founding Machine Learning Scientist

Founding Machine Learning Scientist

Hybrid

San francisco county, United states

$ 300,000 /year

Full Time

08-09-2025

Share this job:

Score my CV

Skills

Problem-solving Research Training Machine Learning benchmarking AWS cloud platforms GCP

Job Specifications

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

The Founding Machine Learning Scientist will own core ML components from research to production, working closely with a cross-disciplinary team of AI researchers and drug discovery scientists.

Design, build, and deploy generative protein design models.
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.

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.

About the Company

3D printing. Gene editing. Artificial intelligence. Big data. New technologies are radically transforming the way that we treat patients and cure diseases on earth and in space; fusing the physical, digital and biological worlds. There has never been a more exciting time to work in life sciences. EPM Scientific are proud to be a leading specialist talent partner in life sciences. Founded in 2012, we help clients solve the number one challenge: talent. Today, we provide permanent, contract and multi-hire talent solutions to s... Know more