Machine Learning Engineer (Active Secret Clearance)
Striveworks5 months ago
Austin, TX, USAMid Level
Base Salary
$140k - $165k/yr
Responsibilities
- Develop machine learning models and custom analytics for image, video, text, geospatial, time-series, and structured data.
- Orchestrate and automate complex data engineering and analytics pipelines.
- Envision, specify, design, and implement core product functionality.
- Transform machine learning models into operational capabilities with data scientists, software engineers, and DevOps engineers.
- Contribute to customer-driven projects, enduring products, and future capabilities of the Chariot AI operations platform.
- Conduct mission-critical fieldwork supporting customers and other stakeholders.
Requirements
- Bachelor’s degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience.
- Experience contributing to data-centric systems, including data engineering, data cleaning, ETL pipelines, machine learning, or production analytics.
- Proficiency in software engineering fundamentals such as algorithms, data structures, and design patterns, plus at least one systems programming language.
- Proficiency in Python and exposure to TensorFlow, PyTorch, and/or scikit-learn.
- Exposure to modern software engineering tools and processes, including version control, issue tracking, CI/CD, and debugging.
- Active Secret or higher U.S. security clearance.
- U.S. citizenship is required.
- Advanced degree in data science, machine learning, computer science, or a related discipline is preferred.
- Preferred experience includes client-server architectures, containerized or cloud deployments, imagery or video machine learning, agentic systems, complex technical solution delivery, and secure government environments.
Benefits
- Medical, dental, and vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insurance
- HSA and FSA plans, including dependent care FSA
- 401(k) plan
- Unlimited PTO
- Paid parental leave
- Hybrid/on-site work environment in northwest Austin, Texas, with up to 30% travel
Tech Stack
Categories
About Striveworks
Striveworks builds Chariot, an MLOps platform for enterprises and public-sector teams to manage data, develop models, and govern, deploy, and monitor ML at the edge, including disconnected and high-stakes environments. The company sells software and services for computer vision, geospatial, and other AI workflows. Founded in 2018 and headquartered in Austin, Texas, Striveworks is privately held.