Machine Learning Scientist

Profluent • Emeryville, CA

4h • Onsite

About The Position

Profluent is an AI-first protein design company, founded in 2022, that develops deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, the company is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, having raised over $150M to date. Profluent is looking for a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. The ideal candidate should be a self-directed researcher with the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain. As an early employee, the ML Scientist will proactively shape the direction of the company's machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Requirements

• PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
• Experience with conceiving of, implementing, and evaluating novel machine learning techniques
• Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
• Experience with modern deep learning frameworks such as Pytorch or Jax

Nice To Haves

• Familiarity with foundational biology of proteins and nucleic acids
• Experience developing machine learning models for proteins (language models, structure prediction, design)
• Previous experience in data extraction and curation from bioinformatics data sources
• Familiarity with wet lab experimental assays and associated limitations
• Experience with cloud compute platforms (GCP, AWS, Azure)

Responsibilities

• Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction and apply them to protein design
• Curate relevant datasets and design tasks for rigorous evaluation of generative models
• Collaborate with Biology team to design and characterize novel designed biomolecules
• Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
• Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Benefits

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree