Job Description
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.
Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Senior Data Scientist - GenAI to join our team located in Multiple Locations!
We are looking for an experienced and technically proficient Senior Data Scientist specializing in Generative AI (GenAI) to drive the development and optimization of advanced GenAI models within BDS. This role requires a strong background in machine learning and large language models (LLMs) and offers the chance to lead projects that shape AI-driven applications.
Successful candidates will have:
Experience developing and deploying GenAI solutions in regulated industries.
Familiarity with GPU compute infrastructure and distributed model training.
Familiarity with container technologies (e.g., Docker, Kubernetes).
Why Join Us:
Shape the direction of generative AI in a mission-critical organization.
Collaborate with a world-class team of engineers, scientists, and domain experts.
Access to cutting-edge infrastructure, models, and research partnerships.
Competitive compensation and leadership opportunities in the AI domain.
Position Responsibilities:
Lead the development and deployment of advanced GenAI models, including LLMs and multi-modal systems.
Design and implement robust pipelines for model fine-tuning and evaluation.
Develop and evaluate prompt engineering strategies and embedding techniques.
Proto@type and productionize GenAI applications that solve complex business problems.
Own model performance evaluation and bias/fairness assessments to ensure ethical deployment.
Collaborate with MLOps and engineering teams to scale model inference and monitor performance.
Provide insights on GenAI strategy, tools, and industry trends to the team.
Mentor junior and mid-level data scientists and contribute to team development.
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):
Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.
5+ years of experience in deep learning frameworks
1+ year of experience fine-tuning open-source LLMs and integrating APIs from commercial providers.
5+ years of experience programming in Python, and experience with data engineering workflows (e.g., Spark, Airflow, SQL]
Preferred Qualifications (Desired Skills/Experience):
Master's degree or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
1+ year of experience with GenAI/LLM applications
Experience developing and deploying GenAI solutions in regulated industries.
Experience with GPU compute infrastructure and distributed model training.
Experience with container technologies (e.g., Docker, Kubernetes)
Relocation:
Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
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 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.
Summary pay range: USD 135,150 - 195,500
Applications for this position will be accepted until Jul. 07, 2025
Export Control Requirements: 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
Education
Bachelor's Degree or Equivalent Required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
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.
