Machine Learning Engineer (Active Secret Clearance)

Striveworks helps organizations harness artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks makes the journey from deployment to ongoing optimization simple and effective. Organizations build reliable, adaptable systems ready to scale in an unpredictable world.

As a Machine Learning Engineer, you’ll be a core contributor to customer-driven projects and enduring products. You’ll represent Striveworks on solutions leveraging Chariot, our proprietary AIOps platform, and inform its future capabilities. You’ll work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

Your day-to-day involves developing machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. You’ll orchestrate complex data engineering and analytic pipelines, envision core product functionality, and conduct mission-critical fieldwork. This role offers a hybrid/on-site environment in northwest Austin, TX, with up to 30% travel.

You’re right if you value technical expertise and enjoy pushing your capabilities while being outcome-driven. Passionate about applying software engineering and data science to real-world problems, you prioritize customer-centric solutions and productized value. We seek those sharing our high-trust values of candor, passion, perseverance, ownership, and agency.