ML Scientist: RL for Protein Design

Profluent; Emeryville (CA); On-site; USD 200,000 - 330,000; Full time

Benefits offered by this job

Competitive compensation with equity participation

401(k) with strong employer match

Comprehensive health/dental/vision insurance

Generous PTO policy

Professional development opportunities

Job summary

Profluent is seeking a motivated Machine Learning Scientist to drive research in reinforcement learning for biomolecular design. This role involves developing advanced algorithms and collaborating with diverse teams, all while working in an AI-first protein design environment.

Ideal candidates will have a PhD in a related field and experience in machine learning. The position offers a competitive compensation package, including equity participation and substantial benefits.

Qualifications

• PhD or equivalent industry experience in relevant fields.
• Experience with implementation and evaluation of machine learning techniques.
• Publications at major conferences or scientific journals.

Responsibilities

• Design and develop reinforcement learning algorithms for protein design.
• Collaborate with teams to adapt techniques from other domains.
• Implement and optimize infrastructure for protein language models.

Skills

Novel machine learning techniques

Deep learning frameworks (Pytorch, Jax)

Reinforcement learning

Natural language processing

Education

PhD in Computer Science or related field

Tools

Pytorch

Jax

Job description

Profluent is seeking a motivated Machine Learning Scientist to drive research in reinforcement learning for biomolecular design. This role involves developing advanced algorithms and collaborating with diverse teams, all while working in an AI-first protein design environment.

Ideal candidates will have a PhD in a related field and experience in machine learning. The position offers a competitive compensation package, including equity participation and substantial benefits.