Machine Learning Scientist, Reinforcement Learning (Protein Design)

Location: Emeryville, California, United States; hybrid with 2–3 days on-site

Hiring salary range: $200,000–$330,000 USD per year

Company

hirify.global is a frontier AI lab building foundation models for biological molecules to support advances in medicine, agriculture, and protein design.

What you will do

• Design and develop online and offline reinforcement learning algorithms for protein design.
• Adapt and improve reinforcement learning techniques from other domains for biomolecular applications.
• Architect, implement, and optimize infrastructure for post-training protein language models.
• Curate datasets and design evaluation tasks for generative models.
• Implement, analyze, interpret, and present computational research results.
• Collaborate across machine learning, protein design, computational science, and experimental science teams.

Requirements

• PhD or equivalent industry experience in computer science, machine learning, natural language processing, applied mathematics, computational biology, statistics, or a related field.
• Experience conceiving, implementing, and evaluating novel machine learning and reinforcement learning techniques.
• Publications at major machine learning conferences or scientific journals.
• Experience with modern deep learning frameworks such as PyTorch or JAX.
• Legal authorization to work in the United States is required.

Nice to have

• Knowledge of protein and nucleic acid biology.
• Experience developing machine learning models for proteins, including language models, structure prediction, or design.
• Experience with GCP, AWS, Azure, or OCI.
• Experience extracting and curating bioinformatics data.
• Familiarity with wet-lab assays and their limitations.

Culture & Benefits

• Opportunity to contribute to protein design research with potential medical and agricultural impact.
• Competitive compensation with equity participation.
• 401(k) with a strong employer match.
• Health, dental, and vision insurance.
• Generous paid time off and support for work-life balance.
• Professional development in an interdisciplinary AI and biology field.