Machine Learning Scientist, Reinforcement Learning

About this role

Profluent is seeking a Machine Learning Scientist specializing in reinforcement learning to enhance biomolecular design through generative modeling. The role involves collaborative research, algorithm development, and core infrastructure optimization in a fast-paced, interdisciplinary environment.

What you'll do

• Develop online and offline reinforcement learning algorithms for protein design
• Collaborate with teams to adapt reinforcement learning techniques for biomolecular applications
• Implement and optimize core infrastructure for protein language models
• Curate datasets and design evaluation tasks for generative models
• Analyze and present computational approach results to colleagues
• Shape scientific and strategic vision in a collaborative team setting

What they're looking for

• PhD in relevant field or equivalent experience
• Experience with innovative machine learning techniques
• Publications at major ML or scientific conferences/journals
• Proficiency in deep learning frameworks like Pytorch or Jax
• Familiarity with cloud computing platforms (GCP, AWS, etc.)
• Data extraction and curation experience in bioinformatics
• Knowledge of protein biology (preferred)
• Experience with wet lab assays (preferred)

Benefits

• High-growth opportunity with significant impact
• Competitive salary with equity options
• 401(k) with employer match
• Comprehensive health, dental, and vision insurance
• Generous paid time off policy
• Professional development in AI and biology