Engineering- Menlo Park-Vice President-AI / ML Engineering

Goldman Sachs

Menlo Park, CA Full-time 3/24/2026

Master's with 2+ Years of Experience

Approval 98.3%•Total filings 1,746•New hires 747•

💎 Strong Sponsor

•FY 2025

Job Description

Goldman Sachs is seeking a Machine Learning and Artificial Intelligence expert to develop agentic AI solutions for managing large-scale production environments. The role involves building AI systems, integrating them with runtime ecosystems, and collaborating with production teams to enhance operational efficiency and reduce risks.

Requirements

Bachelor’s degree (Masters/PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or related quantitative discipline)
7+ years of experience as an applied data scientist / machine learning engineer
7+ years of software development in one or more languages (Python, C/C++, Go, Java)
3+ years designing, architecting, testing, and launching production ML systems
Practical experience with Large Language Models (LLMs)
Understanding of different LLMs, both commercial and open source
Solid grasp of applied statistics, core ML concepts, algorithms, and data structures
Strong analytical problem-solving, ownership, and urgency

Responsibilities

Build agentic AI systems: Design and implement tool-calling agents
Productionize LLMs: Build evaluation framework for open-source and foundational LLMs
Integrate with runtime ecosystems: Connect agents to observability and incident management systems
Collaborate directly with users: Partner with production engineers and application teams
Safety, reliability, and governance: Build validator models and policy checks
Scale and performance: Optimize cost and latency via prompt engineering and context management
Build a RAG pipeline: Curate domain-knowledge and establish feedback loops
Raise the bar: Drive design reviews and mentor peers

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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