Main Responsibilities
Computer Use Agents, Data, and Evaluation
Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents
Forward Deployed Engineering & Customer Partnership
Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment
Technical Leadership & Scale
Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
Lead technical design reviews, share expertise, and provide guidance to other engineers
Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems
What We're Looking For
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
Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions
Preferred Qualifications
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
Compensation
The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.
Most offers include equity and benefits.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$180,000—$320,000 USD
Be Your Best at Snorkel
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. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
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. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
