Entry level machine learning engineer Jobs in Norfolk, VA

Job Description

At Lockheed Martin Rotary and Mission Systems we are driven by innovation and integrity. We believe that by applying the highest standards of business ethics and visionary thinking, everything is within our reach – and yours as a Lockheed Martin employee. Lockheed Martin values your skills, training and education. Come and experience your future! The Lockheed Martin Rotary and Mission Systems (RMS) Systems of Systems Artificial Intelligence (AI) team is looking for a Manassas Machine Learning Production & Deployment Engineer to focus on machine learning production and deployment from data, databases, displays, stack management, Kubernetes & large scale infrastructure, and experiment management. The ideal candidate is passionate about a broad range of projects from research & development to prototype development, culminating in deployment of our products to customers. We are on the cutting edge, inserting AI into defense systems, delivered through our AI Factory in partnership with our lines of business. The successful candidate will have a strong background in areas like : software engineering, DevOps, artificial intelligence and machine learning. Key responsibilities include : creative ML work, software development & containerization, display & database integration, high performance compute environment, partnering with the peer engineering organizations and chief engineer offices, customer focused work & deployment to the edge, while working with a close knit team. This role is based on Manassas, VA and co-located with our high performance compute cluster, with telecommuting flexibility depending on program needs. If you’re ready to fuel your passion and challenge the status quo, join Lockheed Martin’s RMS Artificial Intelligence team today. You are meant to make a difference.

Desired skills

• Experience with C / C++, CUDA, NVIDIA libraries, cloud, containers & modern AI tools, or have implemented AI inferencing streaming (e.g. Triton, kserve, etc.)
• Experience with production ML and High Performance Compute Development Experience
• Strong problem solving mindset : ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule
• Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers
• Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics – not afraid to challenge the existing approach to solutions
• Comfortable working in a fast paced and dynamic multi-disciplinary environment