Artificial Intelligence/Machine Learning (AI/ML) Research Scientist

Standard Job Description

As an AI/ML Research Engineer, you will work with guidance from project leaders and technical leads to:

• Develop, integrate, and implement products to assist adding perception, motion/mission planning, controls, etc. functionality in LM products and platforms
• Translate requirements and apply requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms
• Determine software methods to best acquire and execute knowledge • Implement algorithms into software to aide in development of systems which can recognize patterns and perform specific functions
• Be responsible for various phases of developing and maintaining AI-based software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation
• Review test outcomes, conducts troubleshooting, and works to debug issues
• Interface with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.

We are looking for someone with a 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. You should have the demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers. We are also looking for the ability to build and maintain relationships, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics. You should also be comfortable working in a fast paced and dynamic multi-disciplinary environment.

Standard Job Description Focuses on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Researches and discovers improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc. Proficient in AI prompting as it applies to this position and practice.

Basic Qualifications

• Experience with advanced AI/ML techniques
• Experience with AI/ML domain programming languages (e.g. Python, C++, Java, GO, MatLab, etc.)
• Experience with communications protocols, e.g. RF and/or 5G
• Aptitude with DevOps technologies such as Python, Docker, and/or Kubernetes
• Experience developing applications on Linux or similar
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Active Secret clearance; US Citizenship with the ability to obtain and maintain a US Government clearance.

Desired Skills

• Experience "hardening" applications, and deploying them into various platforms per DevOps lifecycles
• DevOps experience including CI/CD pipelines to build, test, and/or deploy
• Familiarity with high-performance computing
• Demonstrated proficiency in designing efficient algorithms and performing analysis with a numerical scripting language such as Python, R or MATLAB (preferably in Python)
• Experience working with government customers in a large, complex environment