AI Machine Learning Engineer

Lockheed Martin · Manassas, VA · 3 wk ago

EngineeringPart-time

Basic Qualifications

Bachelor's or Master's Degree in Software Engineering, Computer Science, Machine Learning, or related STEM degree
Experience in Software development, integration, and test
Familiarity with Linux
Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab

Job Description

At Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Manassas, Virginia is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.

In this exciting role, you will have the opportunity to collaborate with industry-leading design professionals and contribute to groundbreaking projects. Be a part of the Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team working with the Advanced Development Team on the Integrated Common Processor (ICP) program. The ICP program provides a common Integrated Undersea Surveillance Systems (IUSS) signal processing and display system software and hardware suite for the US Navy. Work with our team as we develop cutting edge tools for our Navy customer through the integration of Artificial Intelligence and Machine Learning capabilities into tactical systems.

WHAT WE’RE DOING

In This Position You Will Be Responsible For

Software development and debugging of an MLOps workflow integrated into a tactical system both in the lab and at customer sites
Dataset curation, labeling, and training AI/ML models
Validating and analyzing AI/ML algorithm results, iteratively improving results
Generating data sets for use by the team in system testing and algorithm development
Traveling to the tactical site to exercise the ML lifecycle (up to 25% of the time)

Who We Are

To excel in this role, you should possess the Following Qualifications And Attributes

An innovative mindset, capable of finding solutions to complex engineering challenges
Commitment to excellence, attention to detail, and a dedication to delivering high-quality results

Desired Skills

Experience with AI/ML disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets
DevOps experience including CI/CD pipelines to build, test, deploy
Experience with Acoustic Displays – reading Sonar GRAMS
Experience with IUSS
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 systems
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 decisions 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

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely