ML Scientist, Biomolecular Structure Prediction & Design

Profluent; Emeryville (CA); Vor Ort; USD 212.000 - 339.000; Vollzeit

Benefits dieser Stelle

Equity participation

401(k) with strong employer match

Generous PTO

Zusammenfassung

Profluent, a frontier AI biology lab headquartered in Emeryville, CA, seeks a Machine Learning Scientist to advance all‑atom structure prediction models for key biomolecular complexes. You will drive research from hypothesis to trained models, integrating with Profluent's Gen models and experimental platforms.

The role emphasizes hands-on model development, rigorous evaluation, and collaboration with design and biology teams. This is an early ML‑team member position with high growth and impact.

Qualifikationen

• PhD (or equivalent) in computer science, computational biology, biophysics, or a related field.
• Hands‑on experience building and training biomolecular structure prediction models (e.g., AlphaFold‑ or Protenix‑style co‑folding models).
• Publications at major ML conferences (NeurIPS, ICML, ICLR) or top science journals, or widely used open‑source models.
• Experience with deep learning frameworks such as PyTorch or JAX, including multi‑GPU training.

Aufgaben

• Develop and train all‑atom structure prediction models, improving accuracy on antibody–antigen and protein–nucleic acid complexes
• Diagnose failure modes of current models and design architecture, training, and data interventions to address them
• Curate large‑scale training data from structural databases, distillation sets, and Profluent's own experimental data
• Integrate structure models with our generative models for design and filtering, and work with protein design teams on experimental validation
• Present results to colleagues in regular update meetings

Kenntnisse

PhD or equivalent

Biomolecular structure prediction

Publications in ML conferences

Autonomous research

Ausbildung

PhD in CS / computational biology / biophysics

Tools

PyTorch

JAX

Jobbeschreibung

Profluent, a frontier AI biology lab headquartered in Emeryville, CA, seeks a Machine Learning Scientist to advance all‑atom structure prediction models for key biomolecular complexes. You will drive research from hypothesis to trained models, integrating with Profluent's Gen models and experimental platforms.

The role emphasizes hands-on model development, rigorous evaluation, and collaboration with design and biology teams. This is an early ML‑team member position with high growth and impact.