Machine Learning Engineer at Salesforce AI Research working closely with teams to design agentic AI systems. Innovating at the frontier of AI with transformative solutions for Salesforce customers.
About the role
- Research Engineer focusing on machine learning and AI solutions for protein design and immune structure at InstaDeep. Collaborating with BioNTech to accelerate biological discovery in the AI revolution.
Responsibilities
- Advance the state of the art in AI and/or biological sciences, particularly in areas such as structural biology, protein engineering, and de novo design.
- Develop and optimize AI models for protein design and drug development.
- Build and maintain data pipelines, training workflows, and evaluation tools.
- Integrate structural and sequence data into modeling frameworks.
- Collaborate across teams to translate research ideas into high-quality, deployable code and models.
- Ensure reproducibility, performance, and scalability of implemented solutions.
Requirements
- Master’s degree in Computer Science, Bioinformatics, Computational Biology, or related field (PhD a plus).
- Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).
- Understanding of protein structures and sequence data, ideally with PDB, AlphaFold, or Rosetta.
- Experience with machine learning for biological applications or generative modeling (e.g., diffusion, transformers, VAEs).
- Excellent collaboration and communication skills in interdisciplinary teams.
- Experience in protein design / structure modeling (desirable).
- Familiarity with structural biology tools (e.g., PyMOL, Biopython).
- Prior experience in AI research projects for biology or large-scale model training (desirable).
Benefits
- Hybrid work model
- Commitment to diversity and inclusion
Job title
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