A/AI Machine Learning Engineering

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 from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation.
• Reviews 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.

Requirements & Tech Stack

• Python or other relevant programming languages.
• Familiarity with AI/ML, data analytics, or automation concepts.
• Demonstrated ability to learn new technologies, tools, and processes quickly.
• Ability to obtain and maintain a Top Secret clearance, as required.
• Must be a U.S. citizen where required for the position.

Qualifications

• Bachelor’s degree in engineering, computer science, data science, mathematics, physics, or a related technical field.
• Strong communication, teamwork, and problem-solving skills.
• Ability to work effectively in a collaborative, cross-functional environment.
• 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.
• Experience working on cross-functional or multidisciplinary teams.
• Interest in learning new technologies and taking on increasing technical responsibility.