Machine Learning Automation Research Engineer

Amentum is looking to hire a full-time position at Air Force Research Laboratory, Edwards AFB, CA supporting the research and application of efficient, data-driven machine learning tools that advance our predictive and autonomous capabilities for space propulsion systems. This role includes algorithm development, uncertainty quantification, data analysis, sensor fusion, remote control of test articles, and other advanced concepts as applied to chemical and electric propulsion thrusters.

Duties will range from supporting basic research in the areas of uncertainty quantification and algorithm development to applied technology development including software-in-the-loop and hardware-in-the-loop testing and analysis for in-house research and flight demonstrations.

• Proficiency in one or more programming languages such as Python, MATLAB, C, C++, or similar as well as software design best practices
• Strong background in mathematics, statistics, or probability
• Strong background with dynamical, nonlinear, or chaotic systems
• Expertise in anomaly detection, causal inference, deep learning, reinforcement learning, imitation learning, optimization, state estimation, or unsupervised learning
• Experience with PyTorch, Tensorflow, or similar machine learning frameworks
• Experience using control principles to design feedback control systems with real-time telemetry (controls algorithms, remote systems, optimal control, uncertainty quantification, sparse measurements, noise)
• Experience developing and testing code in Simulation- and Hardware-In-the-Loop (SIL/HIL) environments
• Experience in sensor fusion such as Kalman filtering and experience with multiple sensing modalities
• Experience with designing and integration of autonomy hardware (sensors, flight controllers)
• Experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty to create trustworthy autonomy
• Experience preparing written reports describing the methods, analysis, and results of experiments
• Must be organized, punctual, self-motivated, a team player, and a strong communicator
• Able to collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test new technologies
• Highly motivated to develop space-related technologies
• Strong communications skills, both written and verbal

• MS or equivalent experience in computer science, machine learning, aerospace engineering, mathematics, or data science
• Expertise with controls algorithms, optimization algorithms, reinforcement learning, state estimation, deep learning, or unsupervised learning
• Experience working in or leading teams of scientists, engineers, and technicians
• Must be a United States Citizen
• Must be able to obtain a Security Clearance

Special clothing/equipment (wearing):
If PPE is required, we will supply it (safety shoes)

Travel/transportation requirements:
Must have a valid driver's license

Shift - 9-80 schedule

120000.00

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

• Health, dental, and vision insurance
• Paid time off and holidays
• Retirement benefits (including 401(k) matching)
• Educational reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet…