ML Scientist: RL for Protein Design

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

Benefits offered by this job

Competitive compensation package with equity

401(k) with employer match

Comprehensive health/dental/vision insurance

Generous PTO policy

Professional development opportunities

Job summary

Profluent Bio is seeking a Machine Learning Scientist to advance research in reinforcement learning for biomolecular design. This role provides an opportunity to pioneer generative modeling in AI and protein engineering. Candidates should have a strong background in machine learning, a PhD, and the ability to collaborate effectively in a fast-paced environment.

We offer a competitive salary range of $200,000 – $330,000, comprehensive benefits, and the chance to impact biomedicine dramatically.

Qualifications

• PhD or equivalent industry experience in Computer Science or related field.
• Experience in novel machine learning and reinforcement learning techniques.
• Publications at major machine learning conferences or journals.

Responsibilities

• Design and develop reinforcement learning algorithms for protein design.
• Collaborate with teams to adapt reinforcement learning techniques.
• Curate datasets and design tasks for evaluating generative models.

Skills

Machine Learning

Natural Language Processing

Computer Science

Statistics

Education

PhD in Computer Science or related field

Tools

Pytorch

Jax

Job description

Profluent Bio is seeking a Machine Learning Scientist to advance research in reinforcement learning for biomolecular design. This role provides an opportunity to pioneer generative modeling in AI and protein engineering. Candidates should have a strong background in machine learning, a PhD, and the ability to collaborate effectively in a fast-paced environment.

We offer a competitive salary range of $200,000 – $330,000, comprehensive benefits, and the chance to impact biomedicine dramatically.