Artificial Intelligence & Machine Learning Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

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 team has an immediate opportunity for an engineer with a strong software background to support the Antisubmarine Warfare (ASW) portfolio. The candidate will apply AI and optimization techniques to develop unique and proprietary solutions to our customers’ challenges. If you have an interest and passion for making AI / ML, this role is for you! 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 expected to utilize current AI paradigms, algorithms, and models (e.g. deep learning, reinforcement learning, computer vision); applying these techniques in relevant domains to tackle sophisticated problems and create innovative solutions. This also requires a candidate to maintain awareness of emerging analytics, AI / ML, and domain-specific technologies. This role requires working within an Agile Scrum environment, including supporting sprint meetings (review, retrospective and planning), planning poker and backlog grooming.

This job is aligned with our 21st Century Security (21CS AI) initiative to help the U.S. and its allies leverage emerging technologies to deter threats to economic prosperity and national security.

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:

• Sonar, Signal Processing, Math and/or Algorithm development experience
• 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
• Experience with software planning and execution throughout the requirements, development, design, build, test, and integration phases of a program & familiarity with transitioning prototype software to production, including rapid software prototyping experience to create minimal viable products for evaluation of options

Desired Skills:

Additional skills in the following areas are desired:

• Acoustics and sensor processing domain experience
• Microservices experience
• Containerization experience (Docker, Kubernetes, Helm Charts)
• Optimization of GPUs (CUDA)
• High Performance Compute (HPC) / Cluster management experience

Technical lead or leadership experience in software development, AI / M