Manifold Bio
AI/ML Research Engineer
$140K–$225K
Boston, MA or San Francisco, CA +2 · Full-time · Posted Apr 13, 2026
- Location
- Boston, MA or San Francisco, CA
Boston, Massachusetts, United States
San Francisco, California, United States - Experience
- 2+ years with PyTorch and/or JAX; other experience requirements are stated without a number of years.
- Education
- Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field.
About the job
Builds and scales machine-learning systems and infrastructure for protein design and antibody discovery, from data processing and model training to deployment and monitoring.
What you'll do
- Implement and optimize protein-design models, data pipelines, and distributed GPU training and inference infrastructure.
- Translate research approaches into production-ready systems and run rigorous ML experiments.
- Improve model performance and computational efficiency, and build tools for research prototyping.
What they ask for
- Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or a related field.
- 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications.
- Strong Python scientific computing skills, including NumPy, Pandas, and scikit-learn; experience with distributed computing and GPU optimization.
- Experience implementing research papers or productionizing ML approaches; familiarity with protein structure analysis, computational biology, or analogous natural-science problems.
Nice to have
- Experience training LLMs or diffusion generative models.
- Knowledge of AWS or GCP, Docker or Kubernetes, computational biology, large-scale ETL, or MLOps.
Pay
$140,000-225,000 USD base salary
Tools
PyTorch, JAX, Python, NumPy, Pandas, scikit-learn, Git, AWS
AI focus
Develops and productionizes ML systems for de novo antibody and protein design, including model training, experimentation, distributed inference, and scalable infrastructure.
Model-written summary · the original posting is authoritative