Senior Machine Learning Engineer, Public Sector

Scale AI
Washington, Denver, Honolulu
Workplace: OnsiteFull timeUSD 235,200 - 294,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Architectural ownership","Technical communication","Mentoring","Stakeholder communication","Prioritization"]

Own end-to-end design and delivery of agentic and generative AI capabilities for mission-critical public sector systems. Architect and deploy new patterns where no approach exists, build production-ready agents with retrieval, memory, geospatial reasoning, and evaluation tooling, and continuously improve models through tuning, retraining, and architecture updates. Collaborate with product and research teams, mentor engineers, and work directly with government users in classified environments under an active TS clearance requirement.

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FursaFursa
Scale AI
Scale AI
15 hours ago

Senior Machine Learning Engineer, Public Sector

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own end-to-end design and delivery of agentic and generative AI capabilities for mission-critical public sector systems. Architect and deploy new patterns where no approach exists, build production-ready agents with retrieval, memory, geospatial reasoning, and evaluation tooling, and continuously improve models through tuning, retraining, and architecture updates. Collaborate with product and research teams, mentor engineers, and work directly with government users in classified environments under an active TS clearance requirement.
Location: Washington, Denver, Honolulu
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and deliver agent capabilities end to end, including architecture, implementation, and evaluation.
  • •Define and lead net-new patterns for agent/ML problem spaces with no established approach.
  • •Take state-of-the-art models from internal and community sources and productionize them for customer problems.
  • •Improve and maintain production models and agents via retraining, hyperparameter tuning, and architectural updates.
  • •Build agent-level evaluation benchmarks and tooling (including judges and verifiers) to iteratively improve performance; mentor engineers and represent ML across teams.
Travel: Low travel

Pay and Benefits

Salary: USD 235,200 - 294,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •5+ years building and deploying applied ML systems in production environments.
  • •Extensive experience with GenAI/Agentic AI and related areas such as NLP, deep learning, deep reinforcement learning, or computer vision in production.
  • •Own architectural decisions for complex systems and defend tradeoffs behind them.
  • •Ship agentic systems with real production traffic and strong evaluation rigor.
  • •Strong programming background, including Python and experience with PyTorch or TensorFlow.
Experience:5+ yearsPublic sectorGovernmentGenerative AIAgentic AINatural language processingDeep learningReinforcement learningComputer visionClassified environments
Education:
Skills:Architectural ownershipTechnical communicationMentoringStakeholder communicationPrioritization
Tech Stack:PythonPyTorchTensorFlowAWSGCPLLMsAgent frameworksRetrieval pipelines

Eligibility

Security Clearance:TS

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn