Machine Learning Engineer (Active TS/SCI Clearance)

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with i...

Striveworks was built to solve that problem.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

A BS degree in computer science, machine learning, or a 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, etc.)
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 TS/SCI security clearance and US citizenship

The following isn’t required, but we’d love to see it:
An advanced degree in data science, machine learning, computer science, or a related discipline
Knowledge of relevant architectures and design patterns for client-server systems
Experience implementing and deploying software into containerized or cloud environments via Docker, K8s, or similar
Experience applying machine learning to unstructured data (imagery, video, other) and/or building agentic systems

You will be hybrid/on site at customer locations at Fort Belvoir in Fairfax County, VA. You will be expected to travel up to 15% of the time.