Machine Learning Engineer (Active Secret Clearance)
Striveworks · Austin, Texas, United States · Austin, TX
Defenseonsitemid-level$140k–$165k
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
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