Associate Artificial Intelligence R&D Engineer/Scientist

Associate Artificial Intelligence R&D Engineer/Scientist

15 Jun 2024
Massachusetts, Cambridge, 02238 Cambridge USA

Associate Artificial Intelligence R&D Engineer/Scientist

Vacancy expired!

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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.

Boeing Research & Technology (BR&T) is currently looking for an Associate Artificial Intelligence R&D Engineer/Scientist to join their team in Seattle WA, Huntsville AL, Cambridge MA.

As the advanced central research and development organization of The Boeing Company, Boeing Research & Technology (BR&T) 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 multifaceted and distributed environment where the initiative and contribution of each team member is essential to success. The ideal candidate will be able to work independently and as part of a distributed (and international) team. Many projects are multi-year and end with the successful transition and integration of new capabilities to Boeing end product development/deployment. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Business Unit.

A successful candidate will be a motivated and independent Artificial Intelligence Engineer/Scientist with coding experience, data understanding, and machine learning knowledge. They will assist in research and development (R&D) and rapidly prototype advanced computing technologies for aerospace products and services. They will be comfortable in taking initiative, learning by experience, possess an interest in personal learning, seek feedback from others, and create innovative ideas. They will get great satisfaction in applying and engineering solutions that will work in the real world.

Position Responsibilities:

  • Develops advanced software and models for aerospace products and services
  • Adapts and integrates various software packages into workable prototypes
  • Designs, applies, and crafts new algorithms, methods, and tools addressing project requirements
  • Participates in the software development and machine learning development processes.
  • Evaluates performance of algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability.
  • Collects, prioritizes, synthesizes, and analyzes data; summarizes findings; develops conclusions and recommendations.
  • Includes the ability to integrate application components and databases across computing platforms.
  • Provides solutions to a variety of technical problems of moderate scope and complexity.
  • Works under general supervision, and no instructions are needed for routine work.
  • Leverages knowledge of Artificial Intelligence approaches and techniques.
  • Optimally communicates results to teammates and customers.
  • Demonstrates an interest in personal learning and development.
  • Seeks feedback from multiple sources to improve and develop.
  • Comfortable in taking initiative and learning by experience.


This position allows telecommuting. The selected candidate will be required to perform some work onsite at one of the listed location options.

The position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. § 120.15 is required. "US Person" includes , lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/Experience):
  • Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry
  • 3+ years of experience with high level software programming languages such a C, C, Java
  • 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 (i.e. Python, MATLAB)


Preferred Qualifications (Desired Skills/Experience):
  • Master's degree or higher in Computer Science or similar
  • 3+ years of experience including jobs, internships, and assistantships
  • Experience with software frameworks such as Robot Operating System (ROS)
  • Experience with Linux OS
  • Experience with machine learning libraries, such as TensorFlow, Keras, or 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 JIRA and Git
  • Passion for aerospace


Typical Education & Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD or Master + 3)

Relocation:

This position offers relocation based on candidate eligibility.

Shift Work Statement:

This position is for 1st shift.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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