Oct 17, 2026 Oct 23, 2026

A/AI Machine Learning Engineering - E2

Apply

Oct 17, 2026 Oct 23, 2026

Discussion

Lockheed Martin A/AI Machine Learning Engineering - E2

Apply

Discussion

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

Programming and software integration — Foundational programming experience in Python, TypeScript, or comparable languages, with the ability to learn established development tools and workflows.

Generative AI fundamentals — Understands core generative AI concepts and has applied them in simple use cases.

AI application and workflow integration — Wraps generative AI prompts within applications or workflows to automate tasks such as text generation or data analysis.

AI tool calling / MCP integration — Designs simple integrations between AI assistants and applications or APIs; understands authentication and authorization for tool calling.

AI-enabled development accelerators (e.g., Cursor, Devin, Cline, Jiminy) — Configures and uses AI-enabled development accelerators to automate tasks, generate code, or improve workflows; has applied them to small projects or proof-of-concepts.

Desired Skills

AI agentic frameworks — Designs and implements simple agent-based systems and integrates agentic frameworks with related technologies.
Document processing for LLM consumption — Processes documents for LLM consumption and integrates document processing with related AI tasks.
LM Navigator — Uses it occasionally for specific tasks.
Genesis — Uses it occasionally for specific tasks.
Experience with AI meeting summarizers.
Familiarity with AWS cloud services or AWS AI/ML tooling is a plus.

Skills

Apply

Description

Standard Job Description

Basic Qualifications

Desired Skills

Skills

See also