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Senior/Staff Forward Deployed Engineer - Data as a Service

Snorkel AI· 310 - DaaS FDE
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Hybrid (New York, NY), Hybrid (San Francisco, CA)$180k - $320kfull-timePosted 10mo ago

About the role

Engineering delivery role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and HITL data generation and review, across hybrid offices in NYC and SF.

Responsibilities

  • 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
  • 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
  • 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

Qualifications

  • 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
  • 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

Skills

Required:PythonSQLML/LLM workflows

Benefits

  • equity expected (typical offer)
  • benefits (typical)
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Snorkel AI

Shaping how AI learns through better data

Snorkel AI delivers the highest quality specialized datasets for frontier LLMs and enterprise models.

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