Machine Learning 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 software engineering, DevOps, artificial intelligence and machine learning to support the RMS AI team and product 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 bleeding edge, inserting AI into defense systems, delivered through our AI Software Factory. This role will get a unique mix with research, prototype development, and software to hardware toolchain development all within the domain of AI / ML programs.
• At Lockheed Martin, we build solutions for some of the world's hardest engineering problems across a wide portfolio and our culture encourages employees to think big and innovate, perform with excellence, and bring ideas to life. Our team cultivates a learning mindset with practical implementation, and fosters an inclusive environment, harnessing the best of a diverse set of perspectives for our products and solutions.
• 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 development of technologies and products that leverage artificial intelligence and machine learning to provide discriminating capability to our customers. This requires engagement 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 is expected to utilize current AI paradigms, algorithms, and models (e.g. deep learning, reinforcement learning, computer vision); applying these techniques in relevant domains to solve complex problems and create 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.

Basic Qualifications:

• Must be eligible for a clearance
• Experience with AI/ML domain programming languages (e.g. Python, C++, Java, GO, MatLab)
• Experience developing and deploying AI/ML models, and a knowledge of machine learning frameworks and deep learning toolsets (e.g. SciKit-learn, TensorFlow PyTorch, Caffe, Keras)
• DevOps experience including CI/CD pipelines to build, test, deploy
• 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, 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 developing applications on Linux
• Familiarity with high-performance computing
• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
• Familiarity interfacing with databases (SQL, MongoDB, etc.)
• Familiarity with signal processing & domain expertise
• Familiarity with one or more of the AI disciplines (e.g. Natural Language Processing, Anomaly Detection, Markov Chain and Monte Carlo (MCMC) Methods, Machine Learning, Predictive Modeling, Statistical Analysis and Hypothesis Testing)

Career Area: Artificial Intelligence | Job ID: 551501BR