Artificial Intelligence Intern Full Time NEW

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

As the advanced central research and development organization of The Boeing Company, Boeing Engineering & Technology Innovation (BE&TI) provides innovative technologies that enable the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services.

Employees work in a dynamic and distributed environment where the initiative and contribution of each team member is critical to success. The ideal candidate will be able to work independently and as part of a distributed (and international) team.

Location: Boeing Saudi Arabia, Riyadh, Saudi Arabia

Primary Responsibilities:

This is an Artificial Intelligence Engineer role. Your duties will include (but not limited to):

• Apply machine learning, AI, and data mining to different type of data collected from tasks and domains such as manufacturing, sensors, images, and video data
• Adapt and integrate various software packages into workable prototypes
• Design, apply, and create algorithms, methods, and tools addressing project requirements
• Participate in the software development and machine learning development processes
• Evaluate performance of algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability
• Collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations
• Include the ability to integrate application components and databases across computing platforms
• Provide solutions to a variety of technical problems of moderate scope and complexity
• Work under general supervision, and no instructions are needed for routine work
• Leverage knowledge of Artificial Intelligence approaches and techniques
• Effectively communicate results to teammates and customers
• Demonstrate an interest in personal learning and development
• Seek feedback from multiple sources to improve and develop

Basic Qualifications (Required Skills/Experience):

• Experience developing and deploying software programs
• Experience developing and evaluating learned models
• Experience preparing data to create learned models
• Experience with scripting languages for prototyping such as Python
• Experience with high level programming languages such a C++, C, Java

Preferred Qualifications (Desired Skills/Experience):

• Bachelor’s degree or higher in Computer Science or similar
• Experience with software frameworks such as Robot Operating System (ROS)
• Experience with Linux OS
• Experience with machine learning libraries, such as PyTorch.
• Experience with machine learning techniques, such as Support Vector Machines, Heuristics, Neural Nets, Markov Decision
• Experience with Machine Learning development and deployment pipeline, i.e. from data to model
• Knowledge of data structure, numerical optimization and algorithm complexity
• Experience with Agile methodology and repositories, such as Git

Typical Education & Experience:

Education/experience typically acquired through advanced education (e.g. Bachelor) and/or typically 2 or more years’ related work experience or an equivalent combination of education and experience (e.g. Master).

Applications for this position will be accepted until May. 11, 2026

Export Control Requirements:

This is not an Export Control position.

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (Saudi Arabia)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.