Software Engineer - AI / ML

• Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
• Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
• Generate and refine synthetic data at massive scale
• Create and evaluate agentic systems that reason, act, and improve over time
• Provision RL training environments and simulation frameworks for next-generation AI agents
• Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
• Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
• Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.

• 5 years of experience building customer-facing, cloud-native software systems
• AI/ML pipelines, LLM systems, or agentic workflows; or
• MLOps/model platform infrastructure, data pipelines, workflow orchestration, training/inference infrastructure, or production ML systems
• Experience with distributed computing, large-scale data systems, or orchestration frameworks
• Experience at high-growth technology startups
• Experience building software products for large enterprise customers
• Expertise in Python and cloud platforms (AWS, Google Cloud Platform, or Azure)
• Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!