Machine Learning Scientist Berkeley, California, United States

$150,000 - $200,000/Yr

Profluent Bio Inc. - Berkeley, CA

Full-time - Entry Level

Berkeley, CA

About the position

Profluent is seeking a motivated and creative Machine Learning (ML) Scientist to lead research in biomolecular design technologies. This role involves developing advanced deep learning methods for protein sequence, structure, and function prediction, and applying these methods to protein design. The position offers a unique opportunity to work at the intersection of generative modeling research and biomedicine, collaborating with interdisciplinary teams to shape the company's scientific and strategic vision.

Responsibilities

• Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction.
• Curate relevant datasets and design tasks for rigorous evaluation of generative models.
• Collaborate with the 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.

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).

Benefits

• Competitive compensation package
• Health insurance (health/dental/vision)
• Generous paid time off (PTO) policy
• Commitment to physical and mental well-being
• More benefits and perks to be added!