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Boeing Machine Learning Engineer Jobs (NOW HIRING)

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Emonics LLC

Machine Learning Engineer

Seattle, WA · On-site

We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...

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Boeing Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do boeing machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for boeing machine learning 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.

What does a Boeing machine learning engineer do?

A Boeing Machine Learning Engineer designs, develops, and implements machine learning models and algorithms to solve complex aerospace and aviation challenges. Their work often involves analyzing large datasets, training models for predictive maintenance, optimizing flight operations, or improving manufacturing processes. They collaborate with multidisciplinary teams to integrate machine learning solutions into Boeing's products and services, ensuring both reliability and scalability. Additionally, they may research emerging technologies and contribute to innovation within the company.

What are the key skills and qualifications needed to thrive as a Boeing machine learning engineer?

To thrive as a Boeing Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree and experience in data-driven projects. Familiarity with programming languages like Python or C++, machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud computing platforms are commonly required. Analytical thinking, effective problem-solving, and strong collaboration skills help you stand out in cross-functional aerospace teams. These skills ensure the successful development and deployment of advanced AI solutions critical for innovation and safety in aerospace engineering.

How do machine learning engineers at Boeing typically collaborate with domain experts and other engineering teams?

At Boeing, Machine Learning Engineers frequently work alongside aerospace engineers, data scientists, and domain experts to develop and deploy AI-driven solutions that support aircraft design, manufacturing, and operations. Collaboration often involves translating complex aerospace challenges into data-driven models, participating in cross-functional meetings, and integrating machine learning solutions into existing engineering workflows. This multidisciplinary teamwork ensures that machine learning applications align with Boeing’s safety, reliability, and performance standards. Effective communication and a willingness to understand domain-specific requirements are essential for success in this role.

What is the difference between Boeing Machine Learning Engineer vs Boeing Data Scientist?

AspectBoeing Machine Learning EngineerBoeing Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for aerospace applications, often in R&D teamsAnalyzes data to inform business and engineering decisions within aerospace projects
Employer & Industry UsagePrimarily in aerospace manufacturing and defense sectorsUsed across aerospace, manufacturing, and defense industries

While both roles involve data analysis and programming, Boeing Machine Learning Engineers focus on developing and deploying machine learning models for aerospace applications, whereas Boeing Data Scientists analyze data to support decision-making processes. The roles often overlap but differ in their primary focus and technical expertise.

What are popular job titles related to Boeing Machine Learning Engineer jobs?

For Boeing Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Boeing Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

New York, NY

Forhyre
1 - 10 employees
Learn more about Forhyreexternal

Full-time

Re-posted 15 days ago

Job description

We are looking for a Machine Learning Engineer to help us create artificial intelligence products.


Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.


Your ultimate goal will be to shape and build efficient self-learning applications.


Responsibilities


  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field


Requirements


  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus