Boeing
Associate Data Scientist – GenAI
Come join Boeing, a leading innovator in aerospace, defense, and space, where we build technology that transforms our world. We’re committed to a welcoming, respectful, and inclusive environment, offering strong professional growth opportunities. Job Location:
Multiple U.S. locations – the role is hybrid with the possibility of onsite work determined by the hiring team. Position Responsibilities
Assist in the development, deployment, and fine‑tuning of AI, ML, and GenAI models. Support design and implementation of data pipelines for model training and evaluation. Help create prompt‑engineering strategies and embedding techniques. Prototype AI‑driven applications that solve business challenges. Participate in model performance evaluation, bias, and fairness assessments. Collaborate with engineering teams on inference, monitoring, and maintenance. Stay updated on AI/ML/GenAI trends and tools, sharing insights with colleagues. Engage in learning opportunities and mentorship from senior data scientists. Basic Qualifications (Required)
Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics, or a closely related field. 1+ year of experience in data science or machine learning. 1+ year of programming experience in Python and familiarity with data‑engineering workflows (e.g., Spark, Airflow, SQL). Experience with platform infrastructure: Kubernetes, containerization, infrastructure‑as‑code. Preferred Qualifications (Desired)
Master’s degree or PhD in one of the aforementioned disciplines. Experience fine‑tuning open‑source models and integrating APIs from commercial providers. Proficiency with deep‑learning frameworks (PyTorch, TensorFlow). Experience in AI ethics and governance for generative models. Hands‑on experience with data‑engineering tools (SQL, Spark). Export Control Requirements
This position requires a “U.S. Person” as defined by 22 C.F.R. Section 120.15. U.S. Persons include U.S. citizens, lawful permanent residents, refugees, or asylees. Drug‑Free Workplace
Boeing maintains a drug‑free workplace. Applicants and employees may be subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol per policy guidelines. Shift & Working Hours
This role is scheduled for 1st shift. Exact hours may vary based on location and team needs. Application Deadline:
November 4, 2025 Benefits & Compensation
Boeing provides a comprehensive Total Rewards package that includes competitive base pay, variable compensation, health insurance, flexible spending accounts, health savings accounts, retirement plans, life and disability insurance, and paid time off. 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, disability, genetic factors, military/veteran status, or other legally protected characteristics.
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Come join Boeing, a leading innovator in aerospace, defense, and space, where we build technology that transforms our world. We’re committed to a welcoming, respectful, and inclusive environment, offering strong professional growth opportunities. Job Location:
Multiple U.S. locations – the role is hybrid with the possibility of onsite work determined by the hiring team. Position Responsibilities
Assist in the development, deployment, and fine‑tuning of AI, ML, and GenAI models. Support design and implementation of data pipelines for model training and evaluation. Help create prompt‑engineering strategies and embedding techniques. Prototype AI‑driven applications that solve business challenges. Participate in model performance evaluation, bias, and fairness assessments. Collaborate with engineering teams on inference, monitoring, and maintenance. Stay updated on AI/ML/GenAI trends and tools, sharing insights with colleagues. Engage in learning opportunities and mentorship from senior data scientists. Basic Qualifications (Required)
Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics, or a closely related field. 1+ year of experience in data science or machine learning. 1+ year of programming experience in Python and familiarity with data‑engineering workflows (e.g., Spark, Airflow, SQL). Experience with platform infrastructure: Kubernetes, containerization, infrastructure‑as‑code. Preferred Qualifications (Desired)
Master’s degree or PhD in one of the aforementioned disciplines. Experience fine‑tuning open‑source models and integrating APIs from commercial providers. Proficiency with deep‑learning frameworks (PyTorch, TensorFlow). Experience in AI ethics and governance for generative models. Hands‑on experience with data‑engineering tools (SQL, Spark). Export Control Requirements
This position requires a “U.S. Person” as defined by 22 C.F.R. Section 120.15. U.S. Persons include U.S. citizens, lawful permanent residents, refugees, or asylees. Drug‑Free Workplace
Boeing maintains a drug‑free workplace. Applicants and employees may be subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol per policy guidelines. Shift & Working Hours
This role is scheduled for 1st shift. Exact hours may vary based on location and team needs. Application Deadline:
November 4, 2025 Benefits & Compensation
Boeing provides a comprehensive Total Rewards package that includes competitive base pay, variable compensation, health insurance, flexible spending accounts, health savings accounts, retirement plans, life and disability insurance, and paid time off. 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, disability, genetic factors, military/veteran status, or other legally protected characteristics.
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