Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)

Striveworks • Austin, TX

6h • $185,000 - $230,000 • Hybrid

About The Position

Striveworks is seeking a Senior Machine Learning Engineer, Agentic Systems to be a core contributor to both customer-driven projects and the enduring products of the company. This role involves working directly with customers, data scientists, software engineers, and DevOps engineers to develop machine learning solutions, orchestrate complex data and agentic workflows, and help shape the capabilities of Chariot, our proprietary AI operations platform. The engineer will work across models, agents, tools, and workflows to build reliable and effective AI systems while analyzing and improving their performance and usability. The work will inform platform improvements, expand capabilities, and extend to the field through mission-critical deployments, direct customer contact, and insights that shape future development.

Requirements

• BS degree in computer science, machine learning, or a related discipline
• 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
• 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

Nice To Haves

• 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

Responsibilities

• Develop machine learning solutions
• Orchestrate complex data and agentic workflows
• Build reliable and effective AI systems
• Analyze and improve the performance and usability of AI systems
• Inform platform improvements
• Expand company capabilities
• Extend capabilities to the field through mission-critical deployments
• Engage in direct customer contact
• Provide insights that shape future product development

Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans
• 401(k) plan
• Unlimited PTO
• Paid parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior