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), the advanced central research and development organization of The Boeing Company, is at the forefront of revolutionizing the aerospace industry with cutting-edge technologies while improving the cycle time, cost, quality and performance of existing Boeing products and services. We are seeking a highly motivated and experienced Artificial Intelligence Technologist to join our team and shape the future of AI in Aerospace.

　　The Boeing Company is currently seeking an Artificial Intelligence R&D Technologist to support BR&T in either Tukwila, Washington or Long Beach, CA.

　　We are looking for a broad range of experience including a Mid-Level or Senior Technologist to fill this position.

　　A successful candidate will be highly motivated with coding experience, data understanding, and machine learning knowledge and will participate in the research and development (R&D) as well as the rapid prototyping of advanced computing technologies for Aerospace product manufacturing and services. They will have broad knowledge of data analysis algorithms including data mining/analysis, various statistical techniques, machine learning, deep learning, computer vision or perception, text mining, natural language processing, graph theory and data visualization to analyze, predict, infer, extract and understand data/information.

　　The successful candidate should have a passion for AI, Computer Vision and Aerospace Manufacturing.

　　Position Responsibilities:

　　Research and development of groundbreaking technology solutions that push the boundaries of AI in aerospace.

　　Hands-on machine learning and deep learning model development, model optimization and fine-tuning.

　　Work with Foundation Models including LLMs, LVMs, etc.

　　Hands-on Cloud and on-prem back-end development for machine learning and deep learning application.

　　Work with Graph Data, Graph Query Language and Graph Neural Networks.

　　Large scale relational and non-relational data analysis including time series data.

　　Collaborate with cross-functional teams to seamlessly integrate software components, data science algorithms, and databases across computing platforms.

　　Develop and deploy Computer Vision models using platforms such as TensorFlow, Keras, PyTorch, etc.

　　Thrive in a dynamic work environment, taking ownership of technical problems and delivering innovative solutions with minimal supervision.

　　Embrace continuous learning and personal development, staying up-to-date with the latest advancements in AI and aerospace technology.

　　This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future. Note--the selected candidate can anticipate working 3 days onsite and 2 days remote, weekly.

　　This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

　　Basic Qualifications (Required Skills/Experience):

　　Bachelor's degree or higher in data science, machine learning, applied statistics, mathematics, computer science or Engineering

　　3+ years of experience developing and deploying software programs

　　3+ years of experience preparing data to create and evaluate learned models

　　Experience with the following data analytics methods: Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models

　　Experience with SQL and Graph databases

　　Preferred Qualifications (Desired Skills/Experience):

　　5+ years of related work experience or an equivalent combination of education and experience

　　Master's degree or higher in Computer Science, Data Science, Applied Mathematics or similar

　　5+ years of experience developing and evaluating learned models, showcasing ability to unlock the potential of AI in Computer Vision applications

　　Familiarity with software frameworks like Robot Operating System (ROS).

　　Proficiency in utilizing PLM Software (Dassault/Siemens) to develop 3D modeling and simulation applications.

　　Experience with mobile app development (iOS & Android)

　　Experience with Linux OS

　　Experience with the end-to-end machine learning development and deployment pipeline, from data preprocessing to model deployment.

　　Experience with machine learning techniques, such as Support Vector Machines, Heuristics, Neural Nets, Markov Decision

　　Familiarity with Agile methodology and platforms such as JIRA, ADO, and Git; facilitating collaborative and efficient development processes.

　　Typical Education/Experience:

　　Mid-Level (Level 3)

　　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, Master+3 years' related work experience, 9 years' related work experience, etc.).

　　Senior (Level 4)

　　Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.)

　　Relocation:

　　This position offers relocation based on candidate eligibility.

　　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.

　　Shift:

　　This position is for first shift.

　　At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

　　The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

　　The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

　　Pay is based upon candidate experience and qualifications, as well as market and business considerations.

　　Summary Pay Plan Mid-Level: $113,050 - $152,950

　　Summary Pay Plan Senior Level: $136,850 - $181,150

　　Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

　　Export Control Details: US based job, US Person required

　　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.