A/AI Machine Learning Engineering Staff
Posted Updated
Description
Standard Job Description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Basic Qualifications
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
- Strong communication skills with the ability to work effectively with engineering teams, program leadership, and customers.
- Demonstrated experience leading technical teams or multidisciplinary engineering efforts.
- Technical background in AI/ML, data science, software engineering, or a related discipline.
- Demonstrated experience designing and delivering AI-powered production systems — including hands-on work with LLMs and/or Generative AI
- Experience with agentic workflows and production-level LLM tool-calling — designing, deploying, and operating them at scale
- Experienced in agile development methodologies and version control systems (e.g., Git)
- Experience deploying applications on cloud-based platforms and with containerization (e.g., Harbor, Docker, Kubernetes, OpenShift, AWS)
- Actively contributes to the development of new concepts and demonstrates full knowledge of industry and company practices with expertise in the field and related disciplines
Desired Skills
- Experience mentoring engineers and fostering a collaborative, high-performing team environment
- Ability to establish priorities, manage technical risks and dependencies, and align team execution with program objectives
- Experience guiding technical projects through planning, development, integration, testing, and delivery.
- Advanced proficiency in Python, with production experience in React and TypeScript (able to mentor others)
- Knowledge of Model Context Protocol (MCP) and agentic frameworks (e.g., AWS Strands Agents SDK, multi-agent orchestration patterns)
- Practical experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
- Design and delivery experience in RESTful API development and integration
- Regular and strategic use of GenAI coding assistants (Claude Code, Cline, Windsurf, GitHub Copilot)
- Proficiency in additional languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages
- Familiarity with ISO/IEC 15288 systems-engineering processes, requirements traceability (RVTM), and Architecture Decision Records (ADRs)