Chief ML Engineer — Compliance Platforms

The Goldman Sachs Group; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

The Goldman Sachs Group is seeking an experienced Machine Learning Engineer in New York to develop and deploy advanced ML models in a dynamic environment. Candidates should have over 10 years of experience in scalable ML systems and strong coding skills.

This role involves working with large datasets, driving ML projects end-to-end, and collaborating with researchers to enhance model utilization. A bachelor's or master's in Computer Science along with expertise in Python and PySpark is essential.

Qualifications

• 10+ years of hands-on experience with building scalable machine learning systems.
• Expertise in Python & PySpark.
• Solid coding skills and strong Computer Science fundamentals.

Responsibilities

• Drive end-to-end Machine Learning projects that have a high degree of scale and complexity.
• Build infrastructure for machine learning involving feature engineering.
• Collaborate closely with ML researchers to accelerate model usage.

Skills

Machine Learning Systems

Python

PySpark

ML Experimentation

Data Structures

Algorithms

Education

Bachelor's or Master's degree in Computer Science

Tools

TensorFlow

PyTorch

Scikit-Learn

Hadoop

AWS

GCP

Job description

The Goldman Sachs Group is seeking an experienced Machine Learning Engineer in New York to develop and deploy advanced ML models in a dynamic environment. Candidates should have over 10 years of experience in scalable ML systems and strong coding skills.

This role involves working with large datasets, driving ML projects end-to-end, and collaborating with researchers to enhance model utilization. A bachelor's or master's in Computer Science along with expertise in Python and PySpark is essential.