
Principal Machine Learning Engineer
Edison Scientific2 months ago
Base Salary
$275k - $350k/yr
Responsibilities
- Interpret qualitative challenges in building AI agents for science as optimizable problems.
- Build environments for training and deploying AI agents for scientific tasks.
- Collaborate with scientists to formulate and scale training data pipelines.
- Lead training of large-scale LLM-based systems and improve experimentation infrastructure.
- Build efficient inference infrastructure supporting complex sampling algorithms.
- Develop and extend the experimentation platform for internal tools and projects.
- Foster collaboration with a multidisciplinary team of AI researchers and scientists.
Requirements
- 8-10+ years of experience in applied ML research and real-world problem solving.
- Experience across the ML lifecycle including data pipelines, model training, and deployment.
- Fluency in PyTorch, Jax, or equivalent frameworks.
- Demonstrated experience with experimentation in academic or industry settings.
- Strong programming expertise to tackle various technical challenges in ML and LLM software.
Benefits
- Competitive salary and equity.
- Full healthcare coverage for you and your dependents.
- Support for growing families, including a yearly new parent stipend and fertility coverage.
- 401(k) company matching.
- $300 health and wellness benefit.
- Daily lunch and dinner provided when working late.
- Regular team offsites and company events.
- A fast-moving, mission-driven culture.
Tech Stack
PyTorch
Categories
AI & MLData Engineering