At the company, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment that is welcoming, respectful, and inclusive, with great opportunities for professional growth. As the advanced central research and development organization of the company, 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 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.
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Primary Responsibilities:
This is an Artificial Intelligence Engineer role. Your duties will include (but are not limited to):
- Apply machine learning, AI, and data mining to diverse types 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 and select algorithms to meet application requirements concerning scalability.
- Collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations.
- 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, without the need for instructions 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, seeking 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 such as Python.
- Experience with high-level programming languages such as C++, C, Java.
Preferred Qualifications (Desired Skills/Experience):
- Bachelor's degree or higher in Computer Science or a similar field.
- Experience with software frameworks such as Robot Operating System (ROS).
- Experience with Linux OS.
- Experience with machine learning libraries, such as PyTorch.
- Familiarity with machine learning techniques, such as Support Vector Machines, Heuristics, Neural Nets, and Markov Decision processes.
- Understanding of Machine Learning development and deployment pipeline from data to model.
- Knowledge of data structures, numerical optimization, and algorithm complexity.
- Experience with Agile methodology and repositories like Git.
Typical Education & Experience:
Education/experience typically acquired through advanced education (e.g., Bachelor) and/or typically 2 or more years of related work experience or an equivalent combination of education and experience (e.g., Master).
Language Requirements:
None specified.
Application Deadline:
Applications for this position will be accepted until May 11, 2026.
Special Requirements:
- This is not an Export Control position.
- Relocation assistance is not a negotiable benefit for this position.
- Employer will not sponsor applicants for employment visa status.
- This is not a Shift Worker position.
Equal Opportunity Employer:
We are an equal opportunity employer and 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 welcome applications from candidates with disabilities and encourage candidates to share any accommodations required during the recruitment process.
