You will lead the technical evolution of a proprietary biochemistry search and discovery platform, transitioning it from an internal tool to a production-ready external product. As a high-agency generalist, you will architect cloud infrastructure, design greenfield database systems for ML training, and build production-grade APIs that enable revolutionary research in pharma and energy.
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Staff Engineer at Dayhofflabs
Join an elite team of researchers from DeepMind, Google, and CERN at a DCVC-backed startup building the future of artificial biology. As a Staff Engineer, you will own the technical infrastructure for a revolutionary platform founded by the creator of AlphaFold. You'll bridge the gap between frontier ML models and production-ready biochemistry tools, designing greenfield database architectures and scaling cloud systems that drive discovery in pharma, energy, and beyond. This is a high-agency role for a generalist engineer who wants to shape the foundations of a company solving synthesis and compute through computational chemistry.
About this role
Role overview
About the company
Dayhofflabs
Dayhoff Labs is a technology company that builds foundational AI models for chemistry and biochemistry to solve major challenges in both, ranging from catalysis and green synthesis to ab initio synthetic biology. The founding team has experience from AlphaFold at DeepMind, Google, Agios, MIT, and Caltech.[1][9]
What you'll do
What you will do
- Evolve the core ML inference service into a production-ready product, managing everything from API enhancements and observability to security hardening and deployment.
- Design and implement a robust database architecture to integrate structured biochemistry data with unstructured experimental results for ML training pipelines.
- Manage multi-account AWS cloud infrastructure using Terraform, overseeing the migration of legacy GCP systems and automating CI/CD workflows.
Who you are
Who this is a fit for
- 5+ years of software engineering experience with a proven track record of owning complex technical systems and production services end-to-end.
- Deep expertise in Python and the ML infrastructure ecosystem, including experience with model serving, GPU compute, and data pipeline tooling.
- Advanced proficiency with cloud-native technologies, specifically AWS, Terraform, Docker container orchestration, and relational/vector similarity search databases.
Why this role
Why this role is remarkable
- Exceptional pedigree: Work directly with a team from DeepMind, CERN, MIT, and Google, led by the founder of the landmark AlphaFold project.
- High-impact ownership: Inherit a functional stack with total freedom to redesign infrastructure and shape engineering practices for a high-growth AI-meets-biology startup.
- Massive scale: Build systems that integrate complex data from global biochemistry databases like UniProt and KEGG to power novel discovery in synthesis and compute.
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