Autonomy/AI Machine Learning Research 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

• 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
• working to enhance machine learning and robotic algorithms. Investigates, optimizes, and applies upto-
• date knowledge on modern AI research with latest machine learning and deep learning techniques.
• Develops algorithm implementation requirements. Develops prototypes 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.

Key Responsibilities:

• 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.

Basic Qualifications:

• Track record of research excellence in the autonomy/AI domain
• Expert knowledge and experience with developing, optimizing, and applying algorithms
• Knowledge of machine learning and deep learning frameworks, theory, and practice and deep
• learning toolsets (eg. TensorFlow PyTorch, Caffe, Keras, etc.)
• Experience designing and implementing ML techniques aimed at solving specific problems
• Experience with applications in supervised learning (eg. classification, regression, etc.),
• unsupervised learning (eg. clustering, dimension reduction, generative modeling, etc.) and
• reinforcement learning (eg. model-based or model-free methods)
• Exceptional programming skills (eg Java, Python, MATLAB, and/or C/C++, CUDA) with ability to
• transition between languages as needed
• Knowledge of application areas (computer vision, natural language processing, signal processing,
• )
• Demonstrated history of building prototypes in rapid prototyping environment
• Experience working and collaborating in a multi-disciplinary research team setting
• Experience working with product teams to integrate ideas or transfer technology into products