Reinforcement Learning Scientist — Protein Design & Bio AI

Profluent Bio Inc.; Emeryville (CA); Hybrid; USD 200,000 - 330,000; Full time

Benefits offered by this job

Competitive compensation package

401(k) with employer match

Generous PTO policy

Job summary

Profluent Bio Inc. in Emeryville, California, is seeking a motivated Machine Learning Scientist to drive research in reinforcement learning for protein design. This role offers an opportunity at the cutting edge of generative modeling research across language processing and protein engineering.

The candidate should have a PhD or equivalent experience, and expertise in developing ML algorithms. Competitive compensation and equity participation are offered in a hybrid work setting.

Qualifications

• PhD or equivalent industry experience in computer science, machine learning, or related fields.
• Experience with novel machine learning and reinforcement learning techniques.
• Publications at major conferences or scientific journals.

Responsibilities

• Design and develop reinforcement learning algorithms for protein design.
• Collaborate across teams to improve reinforcement learning techniques.
• Implement and optimize core infrastructure for protein language models.

Skills

Machine Learning techniques

Reinforcement Learning

Deep Learning Frameworks (Pytorch, Jax)

Data curation

Education

PhD or equivalent experience in related fields

Tools

Pytorch

Jax

Cloud platforms (GCP, AWS, Azure, OCI)

Job description

Profluent Bio Inc. in Emeryville, California, is seeking a motivated Machine Learning Scientist to drive research in reinforcement learning for protein design. This role offers an opportunity at the cutting edge of generative modeling research across language processing and protein engineering.

The candidate should have a PhD or equivalent experience, and expertise in developing ML algorithms. Competitive compensation and equity participation are offered in a hybrid work setting.