Striveworks - Senior Machine Learning Engineer, Agentic Systems

• 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, design patterns, proficiency in at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.) • Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.) • US citizenship with eligibility and willingness to obtain and maintain a Secret US security clearance • 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 • Active Secret (or above) US security clearance • 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.