A/AI Machine Learning Engineering Asc

Lockheed Martin

Sunnyvale, CAFresher1h agovia LinkedIn

About the Role

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.

Key Responsibilities

  • Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms.
  • Translates requirements and applies them 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: requirements generation, software design and development, integration, testing, troubleshooting, debugging, and implementation.
  • Reviews test outcomes, conducts troubleshooting, and works to debug issues.
  • Develops human-machine interface scenarios and breaks missions into tasks.
  • Documents interface requirements and implements human-machine interfaces.

Requirements & Tech Stack

  • Python or other relevant programming languages.
  • Familiarity with AI/ML, data analytics, or automation concepts.

Qualifications

  • Bachelor’s degree in engineering, computer science, data science, mathematics, physics, or a related technical field.
  • Ability to obtain and maintain a security clearance, as required.
  • Must be a U.S. citizen where required for the position.

Desired Skills

  • Strong communication, teamwork, and problem-solving skills.
  • Experience working with technical data, models, or engineering tools.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts to both technical and non-technical audiences.
  • Ability to work effectively in a collaborative, cross-functional environment.
  • Demonstrated ability to learn new technologies, tools, and processes quickly.

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