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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 Mid-Level Data Scientist - GenAI to join our team located in Seattle, WA or Arlington, VA. We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role offers the opportunity to learn and grow your skills in ML and large language models (LLMs). You will work closely with senior data scientists and cross-functional teams to contribute to AI-driven applications in our organization.
Job Responsibility:
Contribute to the development and deployment of models
Design and implement pipelines for model fine-tuning and evaluation
Develop prompt engineering strategies and embedding techniques to enhance model performance
Prototype applications that address specific business needs
Assist in model performance evaluation and bias/fairness assessments
Collaborate with MLOps and engineering teams to support model scaling and monitoring
Share knowledge of AI/ML/GenAI tools and trends with the team and contribute to best practices
Requirements:
Bachelor’s degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
3+ years of experience in data science or machine learning
3+ years of experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL)
Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience in developing GenAI solutions in regulated industries
Familiarity with GPU compute infrastructure and distributed model training
Familiarity with container technologies (e.g., Docker, Kubernetes)
Nice to have:
Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
Experience fine-tuning open-source models and integrating APIs from commercial providers
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience in AI ethics and governance in generative models
Experience with data engineering tools (e.g., SQL, Spark)
What we offer:
Competitive compensation and leadership opportunities in the AI domain
Access to cutting-edge infrastructure, models, and research partnerships
health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
programs that provide for both paid and unpaid time away from work
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match when you support your favorite nonprofit organizations