Systems Engineer (Junior) ML/AI Software

Responsibilities:

This position requires a highly motivated individual, well-versed in Artificial Intelligence (AI) using Deep/Reinforcement Learning and Machine Learning (RL/ML) software integration techniques, or other traditional adaptive methods,In service of this goal, we are looking for full-time researchers to work as a part of a multi-disciplinary AFRL team. The successful applicant will:

• Engage with AFRL team members and participate in investigating papers in literature that focus on aspects of RL/ML problems for development of AI tools to update PPM/knowledge components.
• Create modular environments in simulation environments (AFSIM) for “Weapon App Store”.
• Create briefing charts explaining algorithms from papers to team members.
• Based on these algorithms found in literature, collaborate with team members to further develop algorithms and test in simulation; SIL.
• Collaborate with team members to transition developed algorithms to hardware and test in controlled environment HIL.
• Collaborate with team members to transition algorithms from hardware and test on range with SEW systems.

Job Requirements:

• Applicants must be a US citizen and be eligible for a SECRET security clearance. Inability to obtain and maintain a security clearance will result in candidate being ineligible for this position
• Professional, self-starter, with ability to take direction and good team player
• Bachelors degree with at least one year of industry experience in Electrical Engineering, Controls and Dynamic Systems, Computer Science, Applied Mathematics, Mechanical Engineering, Aerospace Engineering, or Probability and Statistics;
• Ability to work in dynamic environments and support multiple users; good creative problem solver with a commitment to assisting the team in building quality software
• Strong oral and written communication skills, ability to present technical and non-technical topics to event participants (small and medium sized groups)
• Relevant experience involving software design and development and embedded system integration is required, with relevant experience in machine learning.
• Applicants should have programming experience in C, C++, and Python.
• Applicants should be creative, interested in proposing new capabilities and technological approaches, and motivated to develop new areas of expertise.
• Applicants should have the capability to think deeply and deliberately on methods to harness new or existing technologies to mitigate the effects of capability gaps for these systems.
• Experience planning, executing, and reporting on science and technology research programs is highly preferred.
• Experience using Microsoft Office applications to understand, document, report, and present complex technical issues is highly preferred.

Ideal candidates should have direct experience in one or more of the following areas:

• Current programming languages i.e: Python, C/C++, Java, MatLab, etc.
• Deep learning, reinforcement learning, Machine Learning, statistics and probability, dynamics and control systems, robotics, vision processing, or autonomous systems.
• DoD weapons and/or flight test planning.
• Advanced mathematics relating to object-oriented programming, controls, and linear systems.
• Reviewing other people’s code: Reading, Modifying, Debugging, and Optimizing.
• A working knowledge of standard office software such as Microsoft word processor, spreadsheet, database, and presentation tools is required.
• Communicating results effectively both verbally and in writing. Must be able to discuss and understand requirements/taskings in dynamic environment.
• Linux OS and GIT Configuration Management System.

Preferred Qualifications/Skills:

• Master’s degree or PhD is preferred.
• Experience using PyTorch, OpenCV, PCL, Deep Neural Networks, Machine Learning/Reinforcement Learning, embedded systems, distributed systems, multi-sensor state estimation, hardware integration experience, modeling and simulation experience, and strong written and presentation skills.
• Comfortable with other people’s code: Reading, Modifying, Debugging, and Optimizing.
• A working knowledge of standard office software such as Microsoft word processor, spreadsheet, database, and presentation tools is required.
• Strong AI/Autonomy algorithm development and implementation with industry and/or defense industry experience.
• Experience with DoD Weapons programs.