[Hiring] Senior Machine Learning Engineer @Striveworks

Role Description

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. Working directly with customers, data scientists, software engineers, and DevOps engineers, you’ll:

• 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 performance and usability
• Inform platform improvements and expand capabilities
• Engage in mission-critical deployments and direct customer contact
• Provide insights that shape future developments

Qualifications

• A BS degree in computer science, machine learning, or a related discipline
• 6+ years of 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
• 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

Requirements

• An advanced degree in data science, machine learning, computer science, or a related discipline (preferred)
• 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 (preferred)

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