A/AI Machine Learning Engineering Asc - E1
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 engineering, computer science, data science, mathematics, physics, or a related technical field.
- Strong communication, teamwork, and problem-solving skills.
- Demonstrated ability to learn new technologies, tools, and processes quickly.
- Ability to obtain and maintain a security clearance, as required.
- Must be a U.S. citizen where required for the position.
Desired Skills
- Experience with Python or other relevant programming languages.
- Familiarity with AI/ML, data analytics, or automation concepts.
- 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.
- Interest in learning new technologies and taking on increasing technical responsibility.