Applied AI Engineer, Federal - Top Secret Clearance

Snorkel AI
United States, Washington
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Presentation","Stakeholder management","Teaching","Problem-solving","Fast-paced execution"]

Research and deliver customer-facing GenAI/ML solutions from use-case scoping and data exploration through model development and deployment. Build systems such as RAG, fine-tuning pipelines, prompt engineering recipes, and agentic workflows, along with datasets and evaluation workflows for reliability and transparency. Partner with federal customers and pre-sales/product teams to standardize solutions into reusable tooling, lead enablement workshops, and help shape the next generation of applied AI capabilities.

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FursaFursa
Snorkel AI
Snorkel AI
9 months ago

Applied AI Engineer, Federal - Top Secret Clearance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Research and deliver customer-facing GenAI/ML solutions from use-case scoping and data exploration through model development and deployment. Build systems such as RAG, fine-tuning pipelines, prompt engineering recipes, and agentic workflows, along with datasets and evaluation workflows for reliability and transparency. Partner with federal customers and pre-sales/product teams to standardize solutions into reusable tooling, lead enablement workshops, and help shape the next generation of applied AI capabilities.
Location: United States, Washington
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with customers to scope use cases, explore data, and build/deploy GenAI and machine learning solutions from development through deployment.
  • •Develop AI systems including retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes, and agentic workflows.
  • •Create augmented datasets and evaluation workflows to improve model reliability, transparency, and stakeholder trust.
  • •Manage relationships with customer leadership and stakeholders to ensure successful AI project development and deployment.
  • •Standardize solutions and contribute to internal tooling and best practices; lead enablement workshops and share customer feedback with product teams.
Travel: Medium travel

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable experience.
  • •3+ years of customer-facing experience designing and implementing AI/ML solutions.
  • •Proficiency in Python and software engineering fundamentals, including testing/packaging, plus experience with typed data modeling (e.g., pydantic/mypy) and API/service frameworks (e.g., FastAPI).
  • •Expertise across the applied AI stack (e.g., scikit-learn, PyTorch, Hugging Face Transformers, FAISS, pandas/Spark, RAG tooling, evaluation workflows, and LLM orchestration tools).
  • •Candidates must have an active TS (Top Secret Clearance).
Experience:3+ yearsFederalNational Security
Education:Bachelor's in Computer Science, Engineering, Mathematics, Statistics (or comparable quantitative field)
Skills:PresentationStakeholder managementTeachingProblem-solvingFast-paced execution
Languages:English
Tech Stack:PythonPydanticMypyPytestPoetryFastAPIMsgspecRayAirflowScikit-learnPyTorchHugging Face TransformersFAISSPandasSparkChromaWeaviateLlamaIndexLangGraphCrewAI

Eligibility

Security Clearance:Top Secret

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn