Staff ML Engineer for AI Scientist Agents | Equity

Edison Scientific; San Francisco (CA); On-site; USD 240,000 - 350,000; Full time

Benefits offered by this job

Competitive salary and equity

Full healthcare coverage

Parental leave

Mental health support

401(k) company matching

Lunch provided

Team off-sites

Job summary

Edison Scientific in San Francisco seeks a Member of Technical Staff, Machine Learning Engineer to build models and agents that accelerate scientific discovery. You will bridge research and production, delivering robust AI systems used by scientists daily.

You will own end-to-end ML work from data pipelines to deployment, collaborate with chemists and biologists, and help scale experimentation with strong infrastructure and tooling.

Qualifications

• 5-10+ years of applied ML research and real-world ML deployment experience.
• Experience across ML lifecycle: data pipelines, training, deployment, validation in production.

Responsibilities

• Interpret qualitative ML challenges as formulatable problems.
• Build environments for training and deploying AI agents for scientific tasks.
• Form training data pipelines with observability and reproducibility.
• Lead training of large-scale LLM-based systems and optimize experimentation.

Skills

ML research

Data pipelines

Model deployment

Python

LLM software stack

Education

PhD in ML/CS or related

Tools

PyTorch

Jax

Job description

Edison Scientific in San Francisco seeks a Member of Technical Staff, Machine Learning Engineer to build models and agents that accelerate scientific discovery. You will bridge research and production, delivering robust AI systems used by scientists daily.

You will own end-to-end ML work from data pipelines to deployment, collaborate with chemists and biologists, and help scale experimentation with strong infrastructure and tooling.