Edison Scientific is a San-Francisco-based startup building AI “scientists” that automate research tasks from literature review to molecular design.
ABOUT US Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI. ROLE As a Senior/Principal Machine Learning Engineer at Edison Scientific, you play a central role in building the models and agents that accelerate scientific discovery. You will work on both cutting edge research and practical engineering, bridging advanced machine learning concepts with robust, reliable software that real scientists depend on. This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team excited about what we’re building. RESPONSIBILITIES - Interpret qualitative challenges in building AI agents for science as well-formulated optimizable problems - Build appropriate environments in which to train and deploy AI agents that solve scientific tasks - Work with scientists to formulate training data pipelines, and scale them, ensuring observability and reproducibility - Lead training of large-scale LLM-based systems, including building internal infrastructure to improve the efficiency of experimentation and production training runs - Build efficient and flexible inference infrastructure, supporting complex sampling algorithms and custom architectures - Develop and extend our experimentation platform for internal tools and projects. - Collaborate closely with a multidisciplinary team of AI researchers, chemists, biologists, fostering an environment of innovation and discovery. QUALIFICATIONS - 5-10+ years of strong track record of work in applied ML research and application of ML methods to solving real-world problems - Experience working across the ML lifecycle: data pipelines and provenance, model training, model deployment, and validation in production systems. - Fluency in PyTorch, Jax or equivalent framework. - Demonstrated experience with experimentation in academic or industry settings. - Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack. BONUS POINTS FOR - PhD in Machine Learning, Computer Science, or other quantitative field - Familiarity with leveraging and managing distributed computing resources - Background architecting complex distributed systems Salary $240,000 - $350,000 • Offers equity WHY JOIN US? We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following: - Competitive salary and equity - Full healthcare coverage; we pay 100% of premiums for you and your dependents - Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot - Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability - 12 weeks of paid parental leave for maternity, paternity, and adoption - Pet care support with a yearly employer-funded stipend for your animal companions - Commuter benefits so you can pay for transit and parking with pre-tax dollars - 401(k) company matching - $300 health and wellness benefit quarterly - Lunch is on us every day you're in the office, and dinner is on us when you're working late - Regular team off-sites and company events Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.