Snorkel AI logo
Snorkel AI
Posted 75 days agoVerified live 9h ago

Forward Deployed Engineer - Data as a Service

Brief overview

Remote
$150k–$320k/yrStated range
3+ yrsMinimum
31 H-1B approvalsDept. of Labor
3 green cardsCertified filings
PythonSQLMachine learningLarge language modelsAPI integrationData engineeringData scienceML engineeringQuality measurement systemsSynthetic data generationTechnical specification development

About the company

Snorkel AI logo
Snorkel AIsnorkel.ai

A company pioneering data-driven AI solutions.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
31H-1B approved
100%approval rate
6new H-1B hires
3PERM certified
$186,500median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20233
20249
202516
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20241
20254
20261
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20241
Top sponsored roles
Operations Manager, PaymentsSoftware Engineer - Full StackSoftware Engineer - BackendStaff Software Engineer - OperationsStaff Software Engineer “ AI Platform
Sponsored employees from
India

Job description

Summary

Snorkel AI is a company focused on transforming expert knowledge into specialized AI at scale. They are seeking a Forward Deployed Engineer to manage the end-to-end AI data pipeline lifecycle, developing and deploying ML-based workflows while collaborating with cross-functional teams to enhance delivery capabilities.

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

Skills

  • 3+ 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

Qualifications

Must Haves

  • 3+ 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

Benefits

  • All offers also include equity in the form of employee stock options, as well as benefits.
  • 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.

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