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# Senior Machine Learning Engineer, Agentic Systems Active Secret Clearance

- **Company:** StriveWorks, Inc
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $185,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Systems Engineering, C++ (Programming Language), Information Systems, Continuous Integration, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Structures, Software Debugging, Software Design Patterns, Issue Tracking Systems, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), Software Deployment, Software Engineering, System Programming, Unstructured Data, Rust (Programming Language), Cloud Platform System, Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Vue.js, SC Clearance, AngularJS, Scikit Learn, Kubernetes, Information Technology, Graphql, Asynchronous Programming, Restful APIs, Network Server, Software Version Control, Docker, Programming Languages
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-agentic-systems-active-secret-clearance--0de5310a-05d4-47c4-9240-b5325f3ece1a

## About the Role

Secret Clearance, Machine Learning, Systems Engineering, Artificial Intelligence (AI), Information Technology & Information Systems, Artificial Intelligence (AI) Programming Languages, Government, Testing, Problem Solving Skills, Use Cases, * A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience

 * Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
 * Experience designing, building, evaluating, and optimizing LLM-powered agents and agentic workflows
 * Experience integrating AI systems with external tools, APIs, MCP servers, and enterprise data sources
 * Experience developing evaluation approaches and frameworks to measure agent performance, reliability, and safety
 * Familiarity with retrieval-augmented generation (RAG), tool use, planning, and multi-agent architectures
 * 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
 * Strong software engineering fundamentals-including algorithms, data structures, and design patterns-as well as proficiency in at least one systems programming language (e.g., Go, Rust, C++, Java, Scala)
 * Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
 * Active Secret (or above) US 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 (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
 * Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [K8s], infrastructure as code, major cloud architectures)
 * Experience with a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, telemetry signals)
 * Experience defining, scoping, planning, and delivering complex technical solutions
 * Experience leading a small team
 * Experience delivering technology solutions in secure government environments

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time.