Senior/Staff Forward Deployed Engineer - Data as a Service

Fdetimes; New York, San Francisco (NY, CA); Hybrid; USD 180,000 - 320,000; Full time

Job summary

Snorkel AI is seeking engineers across multiple levels to own end-to-end data pipeline lifecycle, from data generation to ML-assisted workflows. You will work across data science, data engineering, ML engineering, and operations, partnering with our DaaS Delivery Operations team and stakeholders to deliver production-grade datasets and evaluation tools.

This role emphasizes technical leadership, producing reliable data assets and scalable delivery processes, with opportunities to shape

Qualifications

• 5+ years of experience in data science, data engineering, ML engineering, or related technical roles.
• Strong practical experience with Python and SQL data tooling.
• Familiarity with ML/LLM-based solutions and production workflows for validation or evaluation.
• Experience translating ambiguous requirements into technical specifications and workflows.
• Experience integrating systems via APIs and building custom tooling.

Responsibilities

• Build and deploy evaluators and quality measurement systems.
• Generate synthetic datasets and augment training data.
• Package and deliver production-grade datasets with documentation and QA.
• Configure and build custom applications for client requirements.
• Define production specs and secure technical alignment for go-live.
• Provide ongoing technical support to Delivery Managers and resolve blockers.
• Maintain consistency across customer and internal teams throughout engagements.
• Identify best practices and automate workflow improvements.
• Maintain leaderboards and benchmarking for model evaluation.
• Drive continuous improvement of assets, frameworks, and processes.

Skills

Data science experience

Python

APIs integration

Stakeholder communication

ML workflow design

Tools

Python

SQL

ML tooling

Job description

About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes.

About the Role - Multiple Levels

This is an engineering delivery role where you’ll translate ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster, more reliable, and more effective.

You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation.

This role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team.

Main Responsibilities

Project Execution & Delivery

• Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
• Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
• Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
• Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements

Production & Technical Partnership

• Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
• Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals
• Maintain specification consistency and alignment across customer and internal teams throughout the engagement lifecycle
• Identify and document workflow best practices and automation opportunities, collaborating with DaaS Engineering to continuously improve delivery capabilities

Technical Leadership & Innovation

• Maintain solution leaderboards and execute custom model benchmarking on existing datasets to demonstrate technical capabilities
• Drive continuous improvement of technical assets, evaluation frameworks, and delivery processes to enhance speed, quality, and scalability

What We’re Looking For

• 5+ years of experience in data science, data engineering, ML engineering, solutions engineering, forward-deployed engineering, or other technical solution development roles.
• Strong practical experience with Python and SQL data tooling required.
• Familiarity with ML and LLM-based solutions, including applying ML techniques in production contexts and building validation, evaluation, or quality measurement workflows for ML/LLM-based systems.
• Experience translating ambiguous customer or stakeholder requirements into technical specifications, workflows, and delivered solutions.
• Experience integrating systems via APIs and building custom tooling or workflows for non-standard technical requirements.

Why Join Snorkel AI?

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world‑class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team.

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.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

$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.