Senior / Principal ML Scientist

Location: San Francisco Bay Area; on-site

Salary: $200K–$270K per year plus equity

Company

hirify.global is a frontier research lab developing high-bandwidth brain-computer interfaces that combine biology and artificial intelligence.

What you will do

• Design and scale de novo design frameworks for molecular engineering campaigns.
• Architect the data and modeling foundations for closed-loop design–build–test–learn cycles.
• Build data ingestion, machine-learning modeling, library-design, and optimization infrastructure with data-engineering and MLOps partners.
• Collaborate with wet-lab scientists to define optimization objectives, domain-specific priors, and constraints.
• Prototype, benchmark, and validate models using internal and public datasets.
• Integrate ML models with experimental data streams and extend frameworks to multi-objective and constrained optimization.

Requirements

• Strong grounding in SSMs, LLMs, SE(3)-equivariance, and flow matching.
• Working knowledge of transfer-learning strategies.
• Proficiency in Python, PyTorch, and JAX, with experience writing clean, reproducible, production-grade code.
• Experience applying machine learning to experimental science involving sparse, noisy, or high-cost data.
• A collaborative, systems-level mindset.

Nice to have

• Familiarity with neuroscience.

Culture & Benefits

• Cross-functional collaboration with wet-lab scientists, automation engineers, and data engineers.
• Opportunity to contribute to the long-term research roadmap and act as a scientific thought leader.
• Equity included in the compensation package.
• Equal-opportunity workplace with reasonable accommodations for applicants with disabilities.