Senior Machine Learning Engineer (Active Secret Clearance)
AI summary of the role
Senior Machine Learning Engineer at a defense AI startup building and deploying AI systems for U.S. government customers.
What you’ll do
- Define requirements and orchestrate complex data engineering pipelines working directly with customers, data scientists, software engineers, and DevOps engineers
- Develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data
- Inform the future of Chariot, the proprietary AI operations platform
- Support mission-critical deployments in the field with direct customer contact
What you’ll bring
- BS degree in computer science, machine learning, or related discipline and 6+ years of relevant experience
- Demonstrated experience delivering data-centric systems
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
- Proficiency in software engineering fundamentals (algorithms, data structures, design patterns) and at least one systems programming language
Technologies
Python · TensorFlow · PyTorch · scikit-learn · Chariot · containerized environments · cloud environments · AI agents · agentic workflows
About Striveworks
Cloud-to-edge AIOps platform that helps defense and other high-stakes teams build, deploy, evaluate, and maintain AI models in contested, fast-changing environments.
Series B · 50–100 people
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