About the job
Striveworks builds dependable AI systems for national security and business challenges. The team connects data, models, and operational needs, supporting organizations as they move from initial deployment to ongoing optimization. Their proprietary AIOps platform, Chariot, is central to delivering adaptable solutions that perform reliably in changing environments.
Role overview
The Machine Learning Engineer will work in Austin, Texas, contributing to both customer projects and Striveworks’ core product development. This position requires hands-on engineering with Chariot and offers the chance to influence future platform features. Collaboration is key: expect to work closely with data scientists, software engineers, and DevOps specialists to turn machine learning models into operational solutions. An active Secret clearance is required, and the role is based onsite or in a hybrid setup at the northwest Austin office. Travel may reach up to 30%.
What you will do
- Create machine learning models and custom analytics across diverse data types, including image, video, text, geospatial, time series, and structured data.
- Coordinate and automate complex data engineering and analytics pipelines.
- Help design and implement important product features.
- Support customers and stakeholders through mission-critical fieldwork.
Who thrives here
Engineers who bring technical skill, curiosity, and a focus on results tend to succeed at Striveworks. The role suits those who blend software engineering with data science, communicate clearly, and build repeatable value into product features while keeping customer needs in focus.
Location and travel
- Hybrid or onsite at the Striveworks office in northwest Austin, TX
- Travel up to 30% may be required

