greenhouse
AI/ML Research Engineer
Manifold Bio
Boston, USA
Full-time
Mid · 2+ years experience
Onsite
Discovered 1 weeks ago
PythonPyTorchJAXNumPyPandasscikit-learn
Free
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PythonPyTorchJAX
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PythonPyTorchJAXNumPyPandasscikit-learn
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Position
Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize machine learning systems that power our de novo antibody design platform and advance our protein design capabilities. Your efforts will contribute to building production-ready ML infrastructure that enables breakthrough discoveries in protein therapeutics. You will be expected to take ownership of engineering challenges in our ML pipeline, from data processing and model training to deployment and monitoring, while collaborating closely with our research team to translate cutting-edge ideas into robust, scalable systems.
This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate.
Responsibilities
- Implement and optimize machine learning models for protein design
- Build and maintain scalable data processing pipelines for large-scale protein and molecular datasets
- Develop and deploy ML infrastructure for distributed training and inference across GPU clusters
- Collaborate with research scientists to translate experimental ML approaches into production-ready code
- Design and execute ML experiments with clear hypotheses and rigorous analysis
- Optimize model performance and computational efficiency for large-scale protein design tasks
- Build tools and utilities to support rapid prototyping and experimentation by the research team
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field
- 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications
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