
Machine Learning Automation Research Engineer
Edwards AFB, CAFull-time$120K/yrSeen 1w agoSeen in employer's feed 5 days ago
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Requirements
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Job overview
Amentum seeks a Machine Learning Automation Research Engineer to support research and application of data-driven machine learning tools for predictive and autonomous space propulsion systems at Air Force Research Laboratory. The work spans algorithm development, uncertainty quantification, data analysis, sensor fusion, remote control of test articles, and software- and hardware-in-the-loop testing and analysis for research and flight demonstrations.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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 :
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Proficiency in one or more programming languages such as Python, MATLAB, C, C++, or similar as well as software design best practices
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Strong background in mathematics, statistics, or probability
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Strong background with dynamical, nonlinear, or chaotic systems
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Expertise in anomaly detection, causal inference, deep learning, reinforcement learning, imitation learning, optimization, state estimation, or unsupervised learning
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Experience with PyTorch, Tensorflow, or similar machine learning frameworks
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Experience using control principles to design feedback control systems with real-time telemetry (controls algorithms, remote systems, optimal control, uncertainty quantification, sparse measurements, noise)
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Experience developing and testing code in Simulation- and Hardware-In-the-Loop (SIL/HIL) environments
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Experience in sensor fusion such as Kalman filtering and experience with multiple sensing modalities
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Experience with designing and integration of autonomy hardware (sensors, flight controllers)
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Experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty to create trustworthy autonomy
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Experience preparing written reports describing the methods, analysis, and results of experiments
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Must be organized, punctual, self-motivated, a team player, and a strong communicator
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Able to collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test new technologies
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Highly motivated to develop space-related technologies
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Strong communications skills, both written and verbal
Minimum Education
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MS or equivalent experience in computer science, machine learning, aerospace engineering, mathematics, or data science
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Expertise with controls algorithms, optimization algorithms, reinforcement learning, state estimation, deep learning, or unsupervised learning
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Experience working in or leading teams of scientists, engineers, and technicians
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Must be a United States Citizen
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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. Offerings include:
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Health, dental, and vision insurance
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Paid time off and holidays
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Retirement benefits (including 401(k) matching)
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Educational reimbursement
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Parental leave
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Employee stock purchase plan
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Tax-saving options
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Disability and life insurance
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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.
Original Posting:
10/07/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.
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 (https://postings.govdocs.com/#/vxSkbztPuAwwxfs) .
How this job compares
Set against the 6,099 open Machine Learning Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$120K/yr
- California median$176–261K/yr1,350 salary ranges
- US median$148–245K/yr4,859 salary ranges
This rate, $120K, is 46% below the California median midpoint ($222K) — in the lowest quarter of Machine Learning Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,824 open Machine Learning Engineer jobs in California and 6,099 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,881 postings).
- Education
- 2,296 of the 6,099 open Machine Learning Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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