Snorkel AI

Senior Software Engineer - AI / ML

Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) · Senior

Sponsorship not specified$190k-$240kDetected 63 days ago

PythonDistributed SystemsAWSGCPAzureCloud PlatformsMachine LearningData EngineeringLLMsAgentic AILLMOpsMLOpsAI OrchestrationResearchLeadership

About the role

Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
Generate and refine synthetic data at massive scale

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.
Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills.

5 years of experience building customer-facing, cloud-native software systems
Experience with distributed computing, large-scale data systems, or orchestration frameworks
Experience at high-growth technology startups

Provision RL training environments and simulation frameworks for next-generation AI agents
Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
Expertise in Python and cloud platforms (AWS, GCP, or Azure)
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$190,000 - $240,000 USD

We are looking for a Senior AI/ML Engineer to add to our AI Platform team.
This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration.
Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve.
We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.
Experience building software products for large enterprise customers
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth.

This listing is sourced directly from Snorkel AI's careers page and normalized into a canonical job model.