Senior / Principal ML Biophysicist

Location: San Francisco Bay Area; on-site

Salary: $200,000–$270,000 per year plus equity

Company

hirify.global is a frontier research lab developing high-bandwidth brain-computer interfaces that integrate biological systems with artificial intelligence.

What you will do

• Build scalable pipelines for protein structure modeling, molecular dynamics, and integration with downstream machine learning frameworks.
• Architect molecular modeling tools and workflows for simulating, analyzing, and interpreting biomolecular dynamics-to-function relationships.
• Collaborate with wet-lab scientists to define optimization objectives and encode scientific priors and constraints.
• Prototype, benchmark, and validate modeling frameworks using internal and public datasets.
• Develop machine learning frameworks that incorporate first-principles priors and support molecular discovery workflows.
• Contribute to the research roadmap, prototype novel algorithms, and advise scientists on first-principles analysis.

Requirements

• Strong grounding in deep learning, protein structure modeling, and molecular dynamics.
• Working knowledge of transfer learning strategies.
• Proficiency in Python, PyTorch, and JAX, with experience writing clean, reproducible, production-grade code.
• Experience bridging machine learning and experimental science using sparse, noisy, or high-cost data.
• Collaborative, systems-level mindset.
• Ability to work on-site in the San Francisco Bay Area.

Nice to have

• Familiarity with neuroscience.
• Familiarity with language models or state-space models.

Culture & Benefits

• Work in a multidisciplinary Bio team combining molecular engineering, synthetic biology, neuroscience, and advanced physical methods.
• Collaborate closely with wet-lab scientists, engineers, and data scientists.
• Contribute to creative research addressing challenging problems in biotechnology and brain-computer interfaces.
• Equity is included in the compensation package.