About the Job
“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.
Key Responsibilities
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
[email protected].
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.
Required Skills & Abilities
A BS degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience
Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
Expertise in implementing and analyzing algorithms and data structures
Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
Active Secret (or above) US security clearance and US citizenship
The following isn’t required, but we’d love to see it:
A graduate degree in computer science, machine learning, mathematics, or a related discipline
Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
Experience building AI agents and agentic workflows
Experience implementing ETL pipelines, data pipelines, and/or workflow automation
Experience developing solutions in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
Experience leading a small team
Experience delivering technology solutions in secure government environments
You will be hybrid/on site at our Austin, Texas, office. You will be expected to travel up to 25% of the time.
Qualifications
Experience:
6 years experience
Education:
Bachelor
