AI/ML Research Engineer
Manifold Bio · Boston, MA or San Francisco, CA · Boston Office · San Francisco Office
CHECKED 6H AGO
Bio & Science AIonsitemid-level$140k–$225k
At a glance
Highlights
- Power de novo antibody design with ML systems validated in living systems.
- Screen hundreds of thousands of protein designs simultaneously in vivo.
- Build a flywheel where every campaign yields better drug designs.
What they offer
- Annual performance-based target bonus
- Stock options
- Comprehensive medical, dental, and vision coverage
- 401(k) plan
- Flexible paid time off and holidays
- On-site gym, onsite lunch, and commuter support
Ideal candidate
ML engineer passionate about applying cutting-edge AI to drug discovery who thrives translating research ideas into robust, scalable systems and collaborating across biology and computation.
Requirements
- Bachelor's or Master's in Computer Science, Machine Learning, Computational Biology or related field
- 2+ years hands-on experience with PyTorch and/or JAX for deep learning
- Strong proficiency in Python scientific stack including NumPy, Pandas, scikit-learn
- Experience with distributed computing and GPU optimization
- Familiarity with protein structure analysis or computational biology
- Understanding of modern deep learning architectures and optimization
- Experience translating research papers into production-ready code
- Proficiency with Git, testing frameworks and software engineering best practices
- remote policy
- On-site only
Lab profile
About Manifold Bio
Platform biotech using AI-guided protein design and multiplexed in vivo screening for tissue-targeted medicines.
What they build
- Tissue-targeted medicines
- Organism-scale models of living systems
- AI-guided protein design platform
Known for
- Massively multiplexed in vivo screening
- Proprietary molecular barcoding technology
- In vivo-validated datasets at scale