Vice President, Compliance, Machine Learning Engineer
Goldman Sachs
Quick summary
Market check
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $157,000–$230,631.
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 187 open roles on FindRole.
Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.
Most-posted roles
At a glance
Join the Models Engineering team within Compliance Engineering as a Senior Machine Learning Engineer, contributing to the firm’s mission of enhancing the precision and recall of its compliance models. You will work with large-scale structured and unstructured data, driving complex end-to-end ML projects, building scalable infrastructures for feature engineering, and deploying machine learning models in distributed architectures. Your responsibilities include running experiments, collaborating with researchers, performing code reviews, and ensuring high-quality software practices. The role requires expertise in Python, PySpark, TensorFlow, PyTorch, and HuggingFace, along with experience in AWS/GCP, Scala, Iceberg, and big data feature engineering. Ideal candidates have a strong background in computer science fundamentals and 10+ years of hands-on experience in building scalable ML systems.
Skills
What you'll do
What we're looking for
Related searches
More like this
Goldman Sachs
Goldman Sachs
Goldman Sachs
Citi
Prudential Financial
Morgan Stanley