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Senior Machine Learning Engineer–Field Engagement

Striveworks · Washington, DC · Seattle, WA · Raleigh-Durham, NC · WDC

Defenseonsitesenior$160k–$200k
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At a glance

Highlights

  • Own the technical journey from first login to real value with Chariot.
  • Co-build production AI systems and agents alongside customer teams.
  • Turn successful trials into lasting adoption across major institutions.

What they offer

  • Medical/dental/vision insurance
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave
  • Equity grants and cash bonuses
  • HSA and FSA plans

Ideal candidate

Customer-obsessed engineer who thrives in the field, blending ownership and candor to solve real mission problems. You love getting hands-on fast and turning complex pilots into trusted, lasting AI deployments.

Requirements

  • Experience with deploying large language models using vLLM
  • Familiarity with cloud infrastructure, Kubernetes, APIs, distributed systems, or modern data and ML platforms
  • Experience leading, managing, or mentoring small, cross-functional engineering teams
  • Active Secret (or above) US security clearance
remote policy
Hybrid/on-site near customer site with up to 25% travel

Lab profile

About Striveworks

Delivers trusted AI systems and assurance for federal missions, sustaining models in production.

What they build

  • AI assurance and monitoring platform
  • Agentic AI systems
  • Production federal AI solutions

Known for

  • Production AI deployment
  • Model monitoring and drift management
  • Federal and defense missions
  • Long-term system sustainment

Key facts

  • Founded in 2018
More about Striveworks →
Apply on the lab’s site ↗

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