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The Boeing Company Experienced Data Scientist - GenAI in Seattle, Washington

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 Defense, Space & Security (BDS) is seeking an Experienced Data Scientist – GenAI to join team located in Multiple Locations.

This position can be located in the following areas: Seattle, WA; Arlington, VA; Denver, CO; Long Beach, CA; Miami, FL; New York, NY; North Charleston, SC; Plano, TX; Berkeley, MO; San Francisco, CA.

Position Responsibilities:

  • Develop end-to-end Generative AI enabled pipelines including data processing, feature & model development and production deployment with agility and scale.

  • Lead and mentor small teams of data scientists in the design, development, and implementation of complex and challenging efforts in advanced analytics and machine learning.

  • Partner with the enterprise business functions and collaborate across multiple teams including analytics, product management, and operations to solve problems and identify trends and opportunities.

  • Have passion about working with large and complex unstructured and structured data sets.

  • Lead and contribute to design, algorithm, and code reviews.

  • Work under minimal guidance

This position is hybrid. 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.

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 US Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/Experience):

  • 3+ years of experience with R or Python (Python preferred)

  • 1+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures

  • 1+ years of experience researching and applying large language and generative AI models

  • 3+ years of experience with SQL

  • 1+ years of experience deploying, scaling, and monitoring machine learning applications in a production environment

Preferred Qualifications (Desired Skills/Experience):

  • 5+ years of experience in Python

  • Technical Bachelor’s degree or higher in a quantitative field such as computer science, statistics, mathematics, operations research, bioinformatics, economics, computational biology, physics, or chemistry. (Master's or Doctorate preferred)

  • Experience or relevant coursework with machine learning related open-source libraries including, but not limited to: Pandas, SciKit-Learn, TensorFlow, PyTorch, Theano, Hugging Face etc.

  • Experience or relevant coursework training machine learning models in a cloud computing environment such as: AWS, Google Cloud Platform, Microsoft Azure, etc.

  • Deep technical experience working with technologies related to natural language processing from model fine-tune to prompt engineering

  • Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding

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

Relocation:

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.

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.

Travel:

This position requires up to 10% travel.

Shift:

This position is for 1st 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.

Arlington, VA; Denver, CO; San Francisco, CA; Long Beach, CA; Seattle, WA; New York, NY; Plano, TX: $121,550 to $164,450

North Charleston, SC; Miami, FL; Berkeley, MO: $113,900 to 154,100

Applications for this position will be accepted through June 7, 2024

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.

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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