Vice President AI/ML Engineer

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$130,000–$250,000 / yr
Posted
75 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $190k
$116k most similar roles pay here $264k

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

About Goldman Sachs

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

TL;DR · Vice President AI/ML Engineer

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.

What you'll do

  • Design and architect scalable end-to-end AI/ML solutions specifically tailored for compliance applications.
  • Develop GenAI-driven solutions including agentic frameworks, RAG pipelines, and embedding-based knowledge bases.
  • Experiment with model fine-tuning, prompt engineering, and various algorithmic approaches to solve complex business problems.
  • Write, test, and maintain high-quality production code while participating in peer code reviews.
  • Lead technical projects from inception to completion while providing mentorship to junior engineers.
  • Translate requirements from legal and compliance stakeholders into technical specifications.
  • Implement MLOps practices including model deployment, containerization, and monitoring.

What we're looking for

  • A Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field.
  • At least 7 years of AI/ML industry experience for Bachelor’s/Masters holders or 4+ years for PhD holders with a focus on Language Models.
  • Strong foundation in machine learning algorithms and deep learning architectures like transformers, RNNs, and CNNs.
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learn.
  • Demonstrated expertise in GenAI techniques including RAG, model fine-tuning, prompt engineering, AI agents, and evaluation.
  • Experience with embedding models, vector databases, and MLOps practices like Docker, Kubernetes, and CI/CD.
  • Proven ability to mentor junior engineers and lead technical projects from inception to completion.
  • Strong verbal and written communication skills for collaborating with stakeholders and translating business requirements into technical solutions.

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