Machine Learning (ML) Scientist – Profluent
Profluent is an AI-first protein design company founded in 2022. Based in Emeryville, CA, the company develops deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. They have raised over $150M to date from investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.
Position Summary
Profluent is seeking a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This role offers an opportunity to work at the forefront of generative modeling research, spanning language processing, representation learning, and protein engineering. As an early employee, you will proactively shape the direction of the company's machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Responsibilities
- Research & Development: Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction, and apply them to protein design.
- Evaluation: Curate relevant datasets and design tasks for the rigorous evaluation of generative models.
- Collaboration: Partner with the Biology team to design and characterize novel biomolecules.
- Analysis & Presentation: Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings.
- Strategic Input: Work within a fast-paced, interdisciplinary team to help shape the scientific and strategic vision of the company.
Qualifications
- Education: PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
- Technical Experience: Proven experience conceiving of, implementing, and evaluating novel machine learning techniques.
- Publication Record: Publications at major machine learning conferences (e.g., NeurIPS, ICML, ICLR) or scientific journals (e.g., Nature, Science, Nature Biotech, Nature Methods, PNAS).
- Frameworks: Experience with modern deep learning frameworks such as PyTorch or JAX.
Preferences
- Familiarity with the 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).
What We Offer
- High-growth opportunity with meaningful impact on the future of protein design.
- Competitive compensation package with equity participation.
- Comprehensive benefits including health, dental, and 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.
Compensation
- Hiring Salary Range: $180,000 – $250,000 USD.
Profluent Bio, Inc. is an equal opportunity employer. Legal authorization to work in the United States is required.
