- Salary
- $185k – $275k
- Location
- San Francisco, CA · San Francisco
- Workplace
- Remote, Onsite
- Department
- AI Research and Engineering
- Education
- PhD
- Source
- Greenhouse
Description
About
Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.
Role
As an AI Research Scientist at Edison Scientific, you play a central role in developing the models and algorithms that accelerate scientific research. Your role will encompass both cutting-edge research and applied methods, bringing your work to bear on scientific challenges in laboratories and scientists around the world.
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 challenges in building AI agents for science as well-formulated statistical problems
- Conduct research in post-training of LLMs on challenging scientific reasoning tasks, with the goal of exceeding expert human capacity
- Conduct research in optimal sampling techniques, considering aspects like efficient exploration and quality-diversity
- Own research projects end-to-end, from working with scientists to scope the problem all the way to working with engineers to deploy the outcomes
- Develop and extend our experimentation platform for internal tools and projects.
- Collaborate closely with a multidisciplinary team of AI researchers, engineers, biologists, and chemists, fostering an environment of innovation and discovery.
Qualifications
- Strong track record of ML research on real-world problems in (but not limited to) reinforcement learning, representation learning, and Bayesian methods
- Fluency in PyTorch, Jax, or equivalent framework
- Experience with large-scale training and experimentation technologies (e.g. Ray, verl, Megatron-LM, etc.)
- Experience working with data and ML systems: EDA, feature engineering, model development, model deployment, and validation in production systems.
- Familiarity with modeling 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 systems
Salary
$185,000 - $275,000 • Offers equity
Why join us?
- 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
- 401(k) company matching
- $300 health and wellness benefit
- Lunch is on us every day you're in the office, and dinner is on us when you're working late
- Regular team offsites and company events
- A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it
