Senior Machine Learning Engineer, Agentic Systems
About The Position
Striveworks was built to solve the problem of AI systems degrading in the real world, despite significant investment. The company provides a layer of assurance underneath deployed models, monitoring performance, managing drift, and sustaining systems long after they leave the lab. As a Senior Machine Learning Engineer, Agentic Systems, you will be a core contributor to both customer-driven projects and the enduring products of the company. You will work 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. Your work will involve models, agents, tools, and workflows to build reliable and effective AI systems, while also analyzing and improving their performance and usability. Your contributions will inform platform improvements, expand our 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 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
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
- Active Secret (or above) US security clearance
Responsibilities
- Develop machine learning solutions.
- Orchestrate complex data and agentic workflows.
- Help shape the capabilities of Chariot, our proprietary AI operations platform.
- Work across models, agents, tools, and workflows to build reliable and effective AI systems.
- Analyze and improve the performance and usability of AI systems.
- Inform platform improvements and expand company capabilities.
- Engage in mission-critical deployments and 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
