Lead and mentor a team of engineers focusing on ML infrastructure, distributed computing, and MLOps.
Build and operate platforms for training, deploying, and monitoring models across massive experimental datasets.
Partner with ML research and platform engineering teams to translate infrastructure requirements into scalable solutions.
Optimize GPU cluster utilization and implement orchestration for AI, ML, LLM, and agentic systems.
Establish company-wide MLOps standards to support rapid experimentation and reliable model deployment.
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About Recursion
Recursion is a clinical-stage TechBio company decoding biology to radically improve lives. We integrate automated cell biology, high-dimensional data, and advanced analytics to redefine drug discovery. Our mission is to industrialize drug discovery, leveraging AI to understand cellular disruptions that drive disease and develop treatments for aggressive cancers, rare diseases, and neurological conditions. We're backed by significant funding, including partnerships with Bayer, Roche, Genentech, and Sanofi, proving our impact in the pharmaceutical industry.
How We Work
Our culture thrives on bold integrity and direct engagement. We take calculated risks and push boundaries, always prioritizing ethics and scientific rigor. You will experience a deeply responsible and respectful environment, where honest communication and decisive action are valued. We embrace an iterative approach to progress, learning actively and adapting rapidly. Your work contributes to accelerating treatments for patients who are waiting. We foster trust and autonomy, empowering you to own outcomes and collaborate cross-functionally for maximum impact. Some roles are remote-friendly, allowing you to work from home with occasional travel to our Salt Lake City headquarters.
Engineering at Recursion
Our core innovation is the Recursion OS, an AI-native, end-to-end drug discovery and development platform. This unified intelligence system integrates biology, chemistry, and clinical development. We leverage proprietary multimodal data, sophisticated AI models, and bilingual teams to translate complex science into medicines. Our platform infrastructure, anchored in Salt Lake City, generates millions of cell experiments weekly in automated wet labs. To process this massive data, we collaborated with NVIDIA to build BioHive-2, the pharmaceutical industry's most powerful supercomputer. We use technologies like SAS, R, and R-Shiny for statistical programming, developing open-source R packages and visual analytics. Our stack includes TensorFlow, Google Kubernetes Engine (GKE), Grafana, Atlassian, and Microsoft Azure, addressing unique challenges in large-scale data processing and AI-driven drug discovery.
Why Join Us
Contribute to a mission to radically improve lives by accelerating drug discovery with AI.
Work on cutting-edge AI and data science challenges with one of the most powerful supercomputers in the pharmaceutical industry.
Collaborate in a culture that values bold integrity, direct engagement, and rapid adaptation.
Benefit from comprehensive compensation, including an annual bonus, equity, and a robust benefits package.
Shape the future of medicine in a company with significant funding and strategic partnerships with industry leaders like Google Cloud, Bayer, Roche, and Sanofi.
Benefits & Perks
Annual bonus and equity compensation
Comprehensive benefits package, including exceptional healthcare with mental health coverage
401(K) matching and employee stock purchase plan
Disability insurance
Career development resources and professional coaching
Home-office stipend for remote employees (for some roles)
Occasional relocation assistance
Free daily meals, some meals provided, and free snacks and drinks at office locations