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AI/ML Engineer – Vice President (Seattle, WA)

Goldman Sachs

10/30/2025

Seattle, WA

Full-time


Job Description

Goldman Sachs is seeking a talented individual to join their Machine Learning and Artificial Intelligence team to develop and implement GenAI solutions for large-scale production environments.

Requirements

  • Bachelor's degree in a computational field (Masters/PhD preferred)
  • 7+ years of experience as an applied data scientist / machine learning engineer
  • Strong hands-on experience in software development with Python, C/C++, Go, Java
  • Experience in designing, architecting, testing, and launching production ML systems
  • Practical experience with Large Language Models (LLMs)
  • Solid grasp of applied statistics, core ML concepts, algorithms, and data structures

Responsibilities

  • Build agentic AI systems for production environments
  • Productionize Large Language Models (LLMs) and implement retrieval pipelines
  • Integrate agents with runtime ecosystems for automated diagnostics and remediation
  • Collaborate with production engineers and application teams to address production challenges
  • Ensure safety, reliability, and governance of AI systems
  • Optimize scale and performance of AI systems
  • Curate domain knowledge and establish feedback loops for continuous improvement
  • Drive design reviews, experiment rigor, and mentor peers on engineering best practices

Benefits

  • Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.
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