Machine Learning Automation Research Engineer

PAE Government Services Inc.; Edwards Air Force Base (CA); On-site; USD 108,000 - 132,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) matching

Educational reimbursement

Parental leave

Employee stock purchase plan

Tax-saving options

Disability and life insurance

Pet insurance

Job summary

Amentum is seeking a full-time position at Air Force Research Laboratory, Edwards AFB, CA to advance data-driven machine learning tools for predictive and autonomous propulsion systems.

The role covers algorithm development, uncertainty quantification, data analysis, sensor fusion, and remote control of test articles, with emphasis on both basic research and hardware-in-the-loop demonstrations.

Qualifications

• MS or equivalent experience in computer science, machine learning, aerospace engineering, mathematics, or data science.
• Experience with controls algorithms, optimization, reinforcement learning, state estimation or unsupervised learning.
• Experience with PyTorch, TensorFlow, or similar ML frameworks.

Responsibilities

• Support algorithm development and uncertainty quantification for space propulsion systems.
• Conduct data analysis and sensor fusion, including Kalman filtering.
• Develop and test in Simulation- and Hardware-In-the-Loop (SIL/HIL) environments.

Skills

Python

MATLAB

C

C++

Machine learning

Kalman filtering

PyTorch

TensorFlow

Uncertainty quantification

Control theory

Education

MS or equivalent in computer science, machine learning, aerospace engineering, mathematics, or data science

Tools

SIL/HIL environments

Job description

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.

Preferred Qualifications: 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 Minimum Education 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 Essential Functions 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 Compensation Details: 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.

Benefits Overview: Our health and welfare benefits are designed to support you and your priorities.

• 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 insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.

Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

If you need a reasonable accommodation for any part of the employment process, please complete our Accommodation Request. Requests for accommodation will be considered on a case-by-case basis. If you need assistance, please reach out to [e-mail]