Machine Learning Engineer-Life Sciences

We are 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).

• 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.

• →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

• 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

• 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

We are looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.

There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what were building.

We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.