Job Description

Founding Machine Learning Engineer – AI Drug Discovery
Location: On site – San Francisco
Salary: $180k - $300k & 1-2% Equity

An ambitious AI-driven biotech startup is seeking a Founding ML Engineer to build the core machine learning models powering the next generation of molecular discovery. This is a rare opportunity to shape the technical direction of a company revolutionizing R&D through AI.

Key Responsibilities:

• Design and train novel ML architectures for biomolecular interaction modeling
• Build high-quality datasets and autonomous data collection pipelines
• Analyze model performance, guide data strategy, and improve generalization
• Develop scalable ML infrastructure and lead future model development
• Work closely with founders in a fast-paced, high-ownership environment

Key Skills/Experience:

• Strong ML engineering & software fundamentals (Python, PyTorch/JAX/TensorFlow)
• Expertise in model architecture design and training optimization
• Deep knowledge of mathematics, algorithms, statistics, data science
• Skilled in SQL and dataset creation
• Experience running large-scale GPU training pipelines

Bonus Skills:

• Familiarity with biochemical/structural biology datasets
• Exposure to foundation models (AlphaFold, ESM, RoseTTAFold)
• Experience with LLM agents and large model deployment

Benefits:

• 1-2% Equity
• 401k
• Significant technical ownership of core ML stack
• Early-stage equity and career-defining role
• Mission-driven work with direct impact on sustainability & agriculture
• Small, high-caliber engineering team with rapid decision-making

If you’re interested and think you have the skills required as a Machine Learning Engineer, please don’t hesitate to apply!