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← Snorkel AI

Senior / Staff AI Engineer

Snorkel AI
Location
New York City, NY (Hybrid); San Francisco, CA (Hybrid)
Posted
12 days ago
Department
312 - Engineering
What they actually want (must-haves)
  • 5+ years building production software systems
  • Experience operating non-deterministic AI or ML workloads in production
  • Experience building infrastructure for experimentation, evaluation, model development, synthetic data, agentic workflows, training, inference, or production ML systems
  • Strong proficiency in Python
  • Strong background in distributed systems and cloud platforms (AWS preferred)
  • Experience with workflow or distributed execution frameworks such as Prefect, Airflow, Dagster, Ray, Kubernetes, or similar systems
Nice to have
  • Experience building or operating LLM or agent infrastructure
  • Experience building evaluation or experimentation platforms for LLMs, agents, or other probabilistic systems
  • Experience with synthetic data generation, automated labeling, data refinement, or dataset quality systems
  • Experience building reinforcement learning environments, agent simulations, benchmarks, or other environment-based evaluation systems
  • Experience running large-scale distributed AI workloads across containers, Kubernetes, serverless compute, sandboxes, or heterogeneous compute environments
What the job really is

As a Senior/Staff AI Engineer at Snorkel, you will design and build infrastructure for large-scale AI workloads, focusing on agentic systems and synthetic data generation. Your role involves creating evaluation frameworks, orchestration systems, and LLM infrastructure, ensuring that AI experiments are reproducible and measurable. You will collaborate with various teams to enhance the developer experience and turn experimental workflows into reliable production capabilities.

Things to weigh
  • No salary listed
  • Role focuses on building infrastructure rather than training models or maintaining traditional ML pipelines
  • Fast-paced environment may require adaptability to rapidly evolving technologies
Job score3.2/5
Benefits1/5
Freshness5/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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