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Machine Learning Engineer (Active Secret Clearance)

Striveworks · Austin, Texas, United States · Austin, TX

Defenseonsitemid-level$140k–$165k
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At a glance

Highlights

  • Build trusted AI systems sustaining hundreds of models in real-world missions.
  • Shape Chariot, our AIOps platform for monitoring and managing drift.
  • Deliver mission-critical analytics with direct customer impact.

What they offer

  • Competitive base salary with equity grants and cash bonuses
  • Medical, dental and vision insurance
  • Voluntary life, long-term disability, accident and hospital indemnity insurance
  • HSA and FSA plans including dependent care FSA
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Ideal candidate

Ownership-driven builder who cares about trusted AI for real missions and thrives with direct customer contact.

Requirements

  • BS degree in computer science, machine learning, or related discipline and 2+ years of relevant experience
  • Proficiency in Python and libraries like PyTorch, TensorFlow, and/or scikit-learn
  • Proficiency in software engineering fundamentals and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala)
  • Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
  • Exposure to modern software engineering tools and processes
  • Active Secret (or above) US security clearance and US citizenship
remote policy
Hybrid or on-site with up to 30% 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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