Senior/Staff Forward Deployed Engineer - Computer Use Agents

About the role

Snorkel AI, an AI data lab founded in 2019, is hiring a Forward Deployed Engineer focused on Computer Use Agents. The role partners with leading AI labs and enterprises on agentic-AI initiatives, turning ambiguous product and model challenges into task environments, datasets, evaluators and delivery plans that improve agent reliability. It is hybrid, based in New York City or San Francisco.

Key responsibilities

• Design task environments, datasets and evaluation workflows for agents that operate browsers, desktop apps, terminals and other software interfaces
• Turn customer goals and agent failure modes into multi-step tasks with clear success criteria
• Build data-generation, validation and quality pipelines, plus automated evaluators and measurement frameworks
• Diagnose agent failures and run experiments to measure how data and task design affect downstream performance
• Deliver reusable, production-grade task suites, datasets and evaluation assets
• Lead technical workstreams from design through production delivery, prototype and productionize solutions, and communicate trade-offs to stakeholders
• Turn successful solutions into reusable frameworks, standards and tooling, and partner with DaaS Engineering, Research and Product teams

Required profile

• 5+ years in machine learning engineering, software engineering, applied AI, forward deployed or solutions engineering
• Experience building, evaluating or deploying LLM-based or agentic systems, including computer-use agents
• Ability to take ambiguous technical problems from definition through delivery, and to set technical direction and influence product decisions
• Strong technical communication and customer-facing experience

Required skills

• Strong Python and production software, data or ML systems
• Experimentation and evaluation, including LLM-as-a-judge and metric definition
• Task environments, datasets and verifiers, including reward and verifier design
• APIs, automation, web and desktop applications, and large dataset analysis with Python and the GenAI/LLM stack

Preferred: agent benchmarks, multimodal models, fine-tuning or RL data pipelines, and fast-paced customer-facing environments. Base salary is $180,000-$320,000 USD, with variable compensation and typically equity and benefits.