Associate Data Scientist

Boeing-posted 6 months ago
$90,950 - $131,000/Yr
Full-time • Entry Level
Hybrid • Seattle, WA
Transportation Equipment Manufacturing
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Boeing Defense, Space & Security (BDS) has exciting opportunities for an Associate Data Scientist - GenAI to join our team located in Multiple Locations! We are seeking skilled and innovative Data Scientists 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.

  • Assist in the development and deployment of models.
  • Support the design and implementation of pipelines for model fine-tuning and evaluation.
  • Help in developing prompt engineering strategies and embedding techniques.
  • Contribute to the prototyping of applications that address business challenges.
  • Participate in model performance evaluation and assist in bias/fairness assessments.
  • Collaborate with engineering teams to support model inference and monitoring.
  • Stay updated on AI/ML/GenAI trends and tools, and share insights with the team.
  • Engage in learning opportunities and mentorship from senior data scientists.
  • 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 experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL).
  • Master's degree 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).
  • Competitive base pay and variable compensation opportunities.
  • 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.
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