A/AI Machine Learning Engineering Sr - E3

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

• Proficiency in one or more of the following programming languages: Python, Java, C++, or C#
• Proficiency with one or more of the following: PyTorch or Tensorflow
• Experience with Agile methodologies (e.g., Scrum, Kanban)
• Experience with one or more search/analytics platforms and query languages of those platforms (e.g., Elasticsearch, OpenSearch)
• Active TS/SCI Security Clearance is required to start with the ability to obtain and maintain a TS/SCI with poly
• Excellent written and verbal communication skills
• Ability to work in a collaborative and team-based environment

Desired Skills

• Experience with building, training, and integrating machine-learning models into mission-critical software.
• Experience with version-control and DevSecOps principles and practices
• Advanced degree in a STEM discipline
• Experience with AWS or another cloud computing platform
• Experience with container orchestration platforms (e.g., Kubernetes, OpenShift)

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