Goodfire · 1 month ago
Machine Learning Engineer, Life Sciences
Goodfire is an AI interpretability research company focused on developing trustworthy AI systems. They are seeking a Machine Learning Engineer (Life Sciences) to contribute to the creation of tools for training and deploying interpretable AI systems, particularly in the context of scientific and biological models.
Artificial Intelligence (AI)Generative AIInformation Technology
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Competitive benefits
Company
Goodfire
AI interpretability research company
H1B Sponsorship
Goodfire has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageTotal Funding
$57MKey Investors
Menlo VenturesLightspeed Venture Partners
2025-04-17Series A· $50M
2024-08-15Seed· $7M
Company data provided by crunchbase