Vice President Machine Learning Engineer
Goldman Sachs
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How this pay compares to similar roles
This role pays more than 55% of similar roles. Most pay $174,600–$247,743 — the shaded band above. At the midpoint, this role pays about $190k versus about $211k for comparable roles.
Based on 240 similar postings.
Employer
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has 134 open roles on FindRole.
Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.
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At a glance
The Core Engineering, New York, Vice President, AI/ML Engineer joins The Core Engineering team to develop and operate platforms, applications, and data solutions that power critical firm processes. This role focuses on solving complex business problems by designing and architecting scalable end-to-end AI/ML solutions specifically for compliance applications. Day-to-day responsibilities include building GenAI-driven solutions, including agentic frameworks, RAG pipelines, and embedding models for knowledge bases. The candidate will perform model fine-tuning, prompt engineering, and lead technical projects while mentoring junior engineers. Required skills include proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, and MLOps practices like Docker and Kubernetes. The role addresses the challenge of managing regulatory and reputational risks by leveraging large language models and agentic frameworks to automate compliance processes across massive scales of structured and unstructured data.
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