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Senior/Staff FDE - CUA

Snorkel AI
Location
New York City, NY (Hybrid); San Francisco, CA (Hybrid)
Posted
24 days ago
Department
310 - DaaS FDE
Salary
$180,000–$320,000
What they actually want (must-haves)
  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
Nice to have
  • Experience developing agent benchmarks, task suites, or simulators
  • Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
  • Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
  • Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly
What the job really is

In this role at Snorkel, you will act as a Forward Deployed Engineer focused on Computer Use Agents, leading technical engagements with AI labs and enterprises. Your responsibilities include designing task environments, developing evaluation workflows, and delivering production-ready solutions that enhance agent performance. You will also work closely with customers to translate their needs into actionable technical solutions and improve existing processes based on feedback and data analysis.

Benefits
  • Base salary range of $180,000–$320,000
  • Additional variable compensation opportunity
  • Equity in the form of employee stock options
  • Benefits
Things to weigh
  • No specific mention of remote work flexibility beyond hybrid options in NYC and San Francisco
  • Compensation is variable and depends on multiple factors, which may lead to uncertainty in final salary
  • Role involves navigating ambiguity and complex technical challenges, which may not suit all candidates
Job score3.8/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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