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Senior/Staff FDE - Synthetic Data Generation

Snorkel AI
Location
New York City, NY (Hybrid); San Francisco, CA (Hybrid)
Posted
24 days ago
Department
310 - DaaS FDE
Salary
$180,000–$320,000
What they actually want (must-haves)
  • 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
  • Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
  • Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
  • Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
  • Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
  • Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
Nice to have
  • Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
  • Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
  • Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly
What the job really is

The Senior/Staff Forward Deployed Engineer at Snorkel will focus on synthetic data generation to enhance AI model training and performance. Daily responsibilities include designing and building scalable data generation pipelines, translating model challenges into effective data strategies, and leading customer engagements from solution design to production delivery. The role also involves technical leadership, improving standards for synthetic data processes, and collaborating with customers and internal teams.

Benefits
  • Base salary range of $180,000–$320,000
  • Additional variable compensation opportunity
  • Equity in the form of employee stock options
  • Opportunities for career growth and skill development
Things to weigh
  • No specific mention of remote work flexibility beyond hybrid options in NYC and San Francisco
  • Salary range provided, but actual compensation may vary based on multiple factors
  • Role involves navigating ambiguity and complex technical challenges, which may require strong problem-solving skills
Job score4/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency5/5

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