Vice President Machine Learning 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
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k
This role $190k
$115k most similar roles pay here $270k

This role pays less than 57% of similar roles. Most pay $174,600–$254,750 — the shaded band above. At the midpoint, this role pays about $190k versus about $215k 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.

Most-posted roles

View all roles at Goldman Sachs

At a glance

TL;DR · Vice President Machine Learning Engineer

Role Posting Log in to save

The Core Engineering, Machine Learning Engineer, New York, Vice President joins the Compliance Engineering team within Models Engineering to address complex problems regarding regulatory and reputational risk. This role involves building and operating a suite of platforms and applications that detect and mitigate risks using massive amounts of structured and unstructured data. The engineer will drive end-to-end machine learning projects, build infrastructure for feature engineering, productionize models, and run experiments by tuning features and modeling approaches. Key responsibilities include collaborating with researchers to implement cutting-edge models and performing code reviews. Required technical skills include Python, PySpark, Scala, Iceberg, HDFS file formats like Avro and Parquet, and cloud platforms such as AWS or GCP. The candidate must also possess expertise in TensorFlow, PyTorch, Scikit-Learn, HuggingFace, and experience with LLMs and prompt engineering.

What does a Machine Learning Engineer earn in New York?

Median $216000 from 43 postings across 13 companies.

See salary data

Skills

Machine Learning Deep Learning Python PySpark Scala TensorFlow PyTorch Scikit-Learn HuggingFace AWS GCP LLMs Prompt Engineering Big Data Iceberg HDFS Avro Parquet System Design Distributed Systems

What you'll do

  • Develop, productionize, and maintain machine learning models to mitigate regulatory and reputational risk.
  • Drive end-to-end machine learning projects involving large-scale structured and unstructured data.
  • Build infrastructure for machine learning including feature engineering and scaling models for distributed architectures.
  • Run ML experiments by tuning features and modeling approaches while documenting findings.
  • Collaborate with researchers to integrate cutting-edge models into the production environment.
  • Perform code reviews to ensure high quality and maintain software design standards.
  • Design systems using distributed technologies like PySpark, Iceberg, and cloud platforms.

What we're looking for

  • A Bachelor's or Master's degree in Computer Science or a similar field of study.
  • 10+ years of hands-on experience building scalable machine learning systems.
  • Strong Computer Science fundamentals including algorithms, data structures, and software design.
  • Expertise in Python and PySpark.
  • Experience with distributed technologies such as Scala, Iceberg, HDFS file formats, and AWS or GCP.
  • Experience in system design, database selection, and schema definition for data storage.
  • Extensive experience with Machine Learning and Deep Learning toolkits including TensorFlow, PyTorch, Scikit-Learn, and HuggingFace.
  • Desired experience with LLMs, Prompt Engineering, and architecting ML applications on cloud platforms.

Related searches

More The Core Engineering jobs The Core Engineering jobs in New York All jobs at Goldman Sachs

More like this

Similar roles

Vice President AI/ML Engineer

Goldman Sachs

New York, NY 75 days ago $130,000–$250,000
AI Machine Learning Python GenAI LLM RAG PyTorch TensorFlow Hugging Face scikit-learn Docker Kubernetes CI/CD MLOps LangChain AutoGen Vector Databases Prompt Engineering Model Fine-tuning Distributed Systems
7+ yrs exp
Save

Machine Learning Engineer Vice President

Citi

Remote (Jersey City, NJ) 31 days ago $142,320–$213,480
Generative AI Large Language Models (LLMs) Python LangChain VectorRAG GraphRAG Agentic AI Docker Kubernetes CI/CD Jenkins GitLab Infrastructure as Code (IaC) Microservices SQL NoSQL AWS GCP Azure API Design
5+ yrs exp Remote
Save

Vice President, Quantitative Engineering

Goldman Sachs

New York, NY 31 days ago $191,000–$236,800
Python C++ R Machine Learning Time-Series Analysis Monte Carlo Simulation Conformal Prediction Feature Engineering Model Risk Management Econometrics Statistical Learning Hyperparameter Tuning Exploratory Data Analysis
5+ yrs exp
Save

Machine Learning Engineer, Core Engineering

Pinterest

Remote (San Francisco, CA) +2 7 days ago $138,905–$285,982
Machine Learning Deep Learning Recommendation Systems Natural Language Processing Reinforcement Learning Graph Representation Learning Hadoop Spark SQL Big Data Data Processing Pipelines realtime systems Cursor Copilot Codex
2+ yrs exp Remote
Save