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Senior/Staff FDE - Synthetic Data Generation

Snorkel AINew York City, NY (Hybrid); San Francisco, CA (Hybrid)310 - DaaS FDE
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Salary
$180K - $320K USD
Job type
Full-time
Posted
27 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Senior/Staff Forward Deployed Engineer for Synthetic Data Generation at Snorkel AI is a full-time hybrid position based in New York City, NY or San Francisco, CA. This role suits an experienced machine learning and AI professional eager to lead critical customer engagements focused on synthetic data workflows, evaluation, and model training performance.

Key Responsibilities

Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for advanced AI use cases.
Translate model objectives, failure modes, and data gaps into actionable synthetic data strategies and technical specifications.
Develop LLM- and ML-assisted workflows to produce high-quality training and evaluation datasets across targeted domains and edge cases.
Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, and coverage.
Design and execute experiments to measure the impact of synthetic data on downstream model performance and iterate on generation approaches.
Package and deliver production-grade datasets with standardized formats, quality assurance, and thorough documentation.
Lead technical workstreams from initial solution design through production delivery, addressing customer needs and incorporating feedback.
Rapidly prototype and operationalize solutions across models, data pipelines, APIs, and custom applications.
Identify recurring patterns across customer engagements to turn successful solutions into reusable pipelines, evaluators, and technical standards.
Partner with DaaS Engineering and Product teams to influence platform capabilities based on real-world customer insights.

Requirements

Minimum of 5 years of professional experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a closely related technical field.
Strong programming skills in Python with a proven track record of building reliable production data or machine learning systems.
Experience containerizing applications using Docker and deploying systems on major cloud platforms such as AWS, GCP, or Azure.
Hands-on expertise working with large language models, building model-based applications, and integrating data sources through APIs.
Strong understanding of machine learning experimentation, metric definition, and evaluation techniques including LLM-as-a-judge or rubric-based assessment.
Demonstrated ability to navigate ambiguous technical problems, drive architecture decisions, and communicate effectively with technical and cross-functional stakeholders.
Experience serving as a technical lead, setting technical direction, and mentoring other engineers.

Nice to Have

Experience developing datasets specifically for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop workflows.
Background in building agentic environments, tasks, tool-agent-user interaction design, and agent tool protocols.
Familiarity with reinforcement learning for LLMs, reward and verifier design, and reinforcement learning with verifiable rewards.
Experience thriving in fast-paced, customer-facing environments with rapidly evolving requirements.

Skills and Tools

Python
AWS, GCP, Azure
Docker
Large Language Models (LLMs)
Machine Learning Experimentation and Evaluation Pipelines
Synthetic Data Generation and Augmentation

Salary and Benefits

The base salary range for this position is $180,000 to $320,000 per year, accompanied by additional variable compensation opportunities. Final compensation is determined based on factors including role level, geographic location, job-related skills, relevant experience, education, and interview performance. Most offers include equity and employee benefits.

About the Company

Snorkel AI operates as a frontier AI data lab, assisting teams in constructing the data and environments required for high-performing frontier and agentic AI systems. Combining cutting-edge technology with research-driven AI data development, the organization builds custom datasets, benchmarks, evaluations, and solutions for real-world artificial intelligence applications. Established out of the Stanford AI Lab in 2019, Snorkel collaborates with leading AI enterprises and laboratories to transition from superior data to superior outcomes. The organization is an equal opportunity employer committed to diversity, inclusion, and providing reasonable accommodations for individuals with disabilities.

How to Apply

Interested candidates should visit the official Snorkel AI careers page to submit an application for the Senior/Staff FDE - Synthetic Data Generation position.

Skills and tech stack

PythonAWSGCPAzureDockerLLM

Questions candidates ask

What locations are eligible for this hybrid role?

The position is available in New York City, NY (Hybrid) and San Francisco, CA (Hybrid).

What is the salary range for the Senior/Staff FDE position?

The base salary range is between $180,000 and $320,000 per year, with additional variable compensation and equity typically included in offers.

How many years of experience are required?

Applicants must have at least 5 years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role.

What primary technical skills are required?

Required technical skills include Python proficiency, cloud deployment experience on AWS, GCP, or Azure, containerization with Docker, and hands-on experience with LLMs and ML evaluation.

What background does Snorkel AI have?

Snorkel AI was founded out of the Stanford AI Lab in 2019 and serves as a frontier AI data lab helping organizations build data and environments for frontier and agentic AI.

Ready to apply?

The application is on the official Snorkel AI careers page.

Apply on company site