AI Machine Learning Engineer

Lockheed Martin•Orlando, CT

22h•Remote

About The Position

The Lockheed Martin Global Sustainment Information Systems and Innovation organization is seeking a high energy professional with a strong background in software engineering, artificial intelligence and machine learning to support the AI team and product portfolio, focusing on a broad range of projects across the corporation. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and in the field for our customers. The selected candidate will focus on the development of technologies and products that leverage Artificial Intelligence to provide discriminating capability to our internal teams, organizations, business areas, and overall customers. This will require engagement in every phase of the system development lifecycle including requirements generation, system and software design, development, implementation, integration, and deployment. Activities will range from low TRL research, proof of concepts, development of prototypes, building demonstrators, and transition to production. The selected candidate can expect to utilize current AI paradigms including computer vision, deep learning, and reinforcement learning. These techniques would be applied to solve complex problems and field innovative solutions. The selected candidate will also be expected to assume technical responsibilities and take ownership of development tasks. Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills. The selected candidate can work at any major Lockheed Martin facility or remotely.

Requirements

Bachelor’s Degree in Engineering, Computer Science, or other related discipline
Comprehensive experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, LangChain, etc.)
Experience using machine learning frameworks (Pytorch, Tensorflow, Hugging Face, MxNet, Caffe, etc.)
Experience with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
Familiarity with C++, Java, JavaScript, TypeScript, Web-based languages (HTML5, CSS, etc.), GO, and other compiled languages
Experience developing applications on Windows and Linux
Creative and resourceful when it comes to problem-solving
Must be a US Citizen.

Nice To Haves

Master’s Degree in Engineering, Computer Science, or other related discipline
Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
Experience with Natural Language Processing (NLP) and Large Language Models (LLM)
Experience interfacing with databases (SQL Server, MySQL, PostgreSQL, MongoDB, etc.)
Experience with modern Computer Vision (CV)
Experience with image processing and data analysis techniques
Understanding of large-scale software architecture and design
Experience in high-performance computing, embedded systems, edge computing, or AI deployment
Understanding of neural network architectures and their computational requirements
Familiarity deploying neural networks on embedded/edge devices
Problem-solving mindset with attention to real-world deployment challenges
Self-motivated with ability to work independently and collaboratively
The ability to thrive in a fast-paced environment in an industry that constantly changes
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Experience of collaborating with virtual teams
A curious and can-do attitude. You are not afraid to try, learn, and improve

Responsibilities

Engagement in every phase of the system development lifecycle including requirements generation, system and software design, development, implementation, integration, and deployment.
Activities will range from low TRL research, proof of concepts, development of prototypes, building demonstrators, and transition to production.
Utilize current AI paradigms including computer vision, deep learning, and reinforcement learning.
Apply AI techniques to solve complex problems and field innovative solutions.
Assume technical responsibilities and take ownership of development tasks.