Machine Learning Engineer, Life Sciences
About The Position
We’re looking for a Machine Learning Engineer (Life Sciences) to help build our platform for training, evaluating, and deploying interpretable frontier AI systems, with an emphasis on scientific and biological foundation models(e.g., genomic foundation models, protein language models, vision models for digital pathology). Where you might contribute: Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned. Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Requirements
- 5+ years of experience in ML infra, research engineering, or systems programming.
- Comfort working across research and engineering boundaries.
- Expertise in Python, PyTorch or Jax, and distributed systems.
- Experience deploying and maintaining ML systems at scale.
- You care about understanding how models work internally and using that to make them more reliable and useful in the real world
Nice To Haves
- Experience with biological / life sciences ML (computational biology, bioinformatics, digital pathology, protein/genomics, multimodal biomedical data).
- Open-source ML infrastructure contributions.
- Startup or frontier-lab experience in fast-moving teams
Responsibilities
- Productionize interpretability research into maintainable tools, APIs, and workflows that work on real models and real scientific data.
- Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
- Prototype techniques to visualize and manipulate internal model structures.
- Integrate new machine learning workflows and pipelines into our product and deploy to customers.
- Ensure system reliability, reproducibility, and performance
Benefits
- This role offers market competitive salary, equity, and competitive benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
