Booz Allen Hamilton is seeking a Machine Learning Research Engineer to support the creation of physics-aware foundational models for remote sensing applications. The role involves training, testing ...
Booz Allen Hamilton is seeking a Machine Learning Research Engineer to support the creation of physics-aware foundational models for remote sensing applications. The role involves training, testing ...
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Remote Machine Learning Ops Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do remote machine learning ops engineer jobs pay per year?
As of Jun 5, 2026, the average yearly pay for remote machine learning ops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
More about Remote Machine Learning Ops Engineer jobs
What cities are hiring for Remote Machine Learning Ops Engineer jobs? Cities with the most Remote Machine Learning Ops Engineer job openings:
What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
What states have the most Remote Machine Learning Ops Engineer jobs? States with the most job openings for Remote Machine Learning Ops Engineer jobs include:
What job categories do people searching Remote Machine Learning Ops Engineer jobs look for? The top searched job categories for Remote Machine Learning Ops Engineer jobs are:
- Remote Google Machine Learning Engineer
- Freelance Google Machine Learning Engineer
- Online Machine Learning
- Facebook Machine Learning
- Machine Learning Ai
- Machine Learning Engineer Hybrid
- Remote Python Machine Learning
- Google Machine Learning Engineer
- Machine Learning Operations Engineer
- Machine Learning Manager
Booz Allen Hamilton rating
8.8
Based on 47 frontline employees who took The Breakroom Quiz
9th of 57 rated business consultants
Job description
Job Summary:
Booz Allen Hamilton is seeking a Machine Learning Research Engineer to support the creation of physics-aware foundational models for remote sensing applications. The role involves training, testing, deploying, and maintaining machine learning models while collaborating with a team of engineers and scientists to deliver high-performing solutions.
Responsibilities:
• Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
• Train, test, deploy, and maintain models that learn from data.
• Collaborate with data engineers, data scientists, solutions architects, and remote sensing scientists to deliver world-class solutions.
• Work across self-supervised pretraining, lab-to-scene alignment, multi-task model training, uncertainty calibration, benchmarking, and release readiness.
Qualifications:
Required:
• 4+ years of experience with ML engineering, research engineering, or applied ML development
• Experience with PyTorch, including building and training deep learning models
• Experience with transformer-based models, self-supervised learning, multi-task learning, or large-scale training pipelines
• Experience with debugging model training issues such as instability, memory bottlenecks, dataloader performance, and reproducibility
• Experience with software engineering fundamentals, including testing, code review, and maintainable ML workflows
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Physics, or Remote Sensing
Preferred:
• Experience with computer vision, scientific imaging, remote sensing, or hyperspectral data
• Experience with masked autoencoders, contrastive learning, retrieval models, or multimodal alignment
• Experience with uncertainty estimation, calibration, conformal prediction, or OOD detection
• Experience with distributed training, mixed precision, and GPU performance optimization
• Experience supporting model evaluation and qualification in high-stakes or research-heavy domains
• Master’s degree in Computer Science, Machine Learning, Applied Mathematics, Physics, Remote Sensing, or a related field preferred; Doctorate degree in Computer Science, Machine Learning, Applied Mathematics, Physics, Remote Sensing, or a related field a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.
Booz Allen Hamilton is seeking a Machine Learning Research Engineer to support the creation of physics-aware foundational models for remote sensing applications. The role involves training, testing, deploying, and maintaining machine learning models while collaborating with a team of engineers and scientists to deliver high-performing solutions.
Responsibilities:
• Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
• Train, test, deploy, and maintain models that learn from data.
• Collaborate with data engineers, data scientists, solutions architects, and remote sensing scientists to deliver world-class solutions.
• Work across self-supervised pretraining, lab-to-scene alignment, multi-task model training, uncertainty calibration, benchmarking, and release readiness.
Qualifications:
Required:
• 4+ years of experience with ML engineering, research engineering, or applied ML development
• Experience with PyTorch, including building and training deep learning models
• Experience with transformer-based models, self-supervised learning, multi-task learning, or large-scale training pipelines
• Experience with debugging model training issues such as instability, memory bottlenecks, dataloader performance, and reproducibility
• Experience with software engineering fundamentals, including testing, code review, and maintainable ML workflows
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Physics, or Remote Sensing
Preferred:
• Experience with computer vision, scientific imaging, remote sensing, or hyperspectral data
• Experience with masked autoencoders, contrastive learning, retrieval models, or multimodal alignment
• Experience with uncertainty estimation, calibration, conformal prediction, or OOD detection
• Experience with distributed training, mixed precision, and GPU performance optimization
• Experience supporting model evaluation and qualification in high-stakes or research-heavy domains
• Master’s degree in Computer Science, Machine Learning, Applied Mathematics, Physics, Remote Sensing, or a related field preferred; Doctorate degree in Computer Science, Machine Learning, Applied Mathematics, Physics, Remote Sensing, or a related field a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Booz Allen Hamilton employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Booz Allen Hamilton
Sourced by ZipRecruiter
Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.
Industry
It services
Company size
10,000+ Employees
Headquarters location
McLean, VA, US
Year founded
1914