Artificial Intelligence Machine Learning Systems Engineer

Key Skills

Java Programming, Python Programming, MongoDB, C++, SQL, Git, GoLang, Machine learning techniques, Keras software library, PyTorch, TensorFlow, Docker, Continuous Integration & Continuous Delivery - CI/CD, Scikit-learn, AI technology, RESTful, Caffe

Job Description

The Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team is seeking motivated engineers with a strong background in systems engineering with artificial intelligence and machine learning products to support the RMS AI team and portfolio.

• The RMS AI Engineering & Technology team is focused on 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 Software Factory. This role will get an outstanding mix of research, prototype development, and software to hardware toolchain development all within the domain of AI / ML programs.
• The RMS AI team has an immediate opportunity for a dynamic, hardworking, motivated engineer who wants to join our team. If you have an interest and passion for making AI / ML real, come and be a part of our team. At Lockheed Martin, we are driven by innovation and integrity, and we are excited to bring cutting edge technology to our customers & their missions.
• This role is responsible for the systems engineering lifecycle of AI / ML solutions for our customers technologies and products. This requires involvement in every phase of the system development lifecycle including: requirements generation, system and software design, implementation, integration & test, and verification & validation. Activities will range from low TRL research, development of prototypes, building demos, and transitioning to production. This role will be expected to provide systems guidance on or across teams, translating customer requirements into product and system specifications while addressing technical, schedule, and cost considerations. This requires both breadth and depth of expertise to build, recommend, and approve designs, while also collaborating with other teams involved in the lifecycle.
• This role is encouraged to have experience developing systems-level solutions with the latest in current AI paradigms, algorithms, and models (e.g. deep learning, reinforcement learning, computer vision); developing these techniques in relevant domains to tackle sophisticated problems and build innovative solutions. This also requires a candidate to maintain awareness of emerging analytics, AI / ML, and domain-specific technologies. This role may be based at any RMS site, or remotely via telecommuting depending on program needs.
• In addition to the responsibilities highlighted above we offer extensive benefits to include competitive 401k and insurance. We remain an equal opportunity company.

Basic Qualifications:

• Experience developing and / or deploying AI/ML systems
• Experience and knowledge of Systems Engineering life cycle process and tools (e.g. Cameo, SysML, DOORs, model based systems engineering)
• A problem-solver with strong skills in decision-making (related to cost, schedule, technical, and risk) and closure (dedication to close open items/issues) to ensure mission success
• 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, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics
• Comfortable working in a fast paced and dynamic multi-disciplinary environment

Desired Skills:

• Experience working on one or more of the following areas: concept development; system design; performance requirements definition, development, design, modeling, simulation, integration, test; integration and test of large real-time systems; analysis
• Demonstrated motivation with strong initiative to accept new technical challenges in complex system engineering assignments
• Familiarity with AI/ML domain programming languages (e.g. Python, C++, Java, GO, MatLab)
• Familiarity integrating and deploying AI/ML models, with a knowledge of machine learning frameworks and deep learning toolsets (e.g. SciKit-learn, TensorFlow PyTorch, Caffe, Keras)
• Familiarity with DevOps experience including CI/CD pipelines to build, test, deploy

Career Area: Artificial Intelligence | Job ID: 551501BR