Snorkel AI

Senior/Staff FDE - CUA

Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid)

Posted 20 days ago · $180,000–$320,000

or apply directly on Snorkel AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
20 days
Snorkel AI's roles stay open a median of 45 days
Reposted
No
Salary listed
Yes
42% of Snorkel AI's roles list one
Ghost-job risk at Snorkel AI
high
24 stale, 5 reposted of 38 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Snorkel AI's own greenhouse board since 2026-08-03. Full hiring picture for Snorkel AI.

About this role

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.

Our read on this posting3.8out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Snorkel AI as an employer.

What you need

  • 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 you get

  • Base salary range of $180,000–$320,000
  • Additional variable compensation opportunity
  • Equity in the form of employee stock options
  • Benefits

Worth weighing

  • 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

Summarised from Snorkel AI's posting. Read the full original.

Listed by Snorkel AI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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