Vice President, ML Engineering for Compliance Tech

Goldman Sachs; Dallas (WV); On-site; USD 120,000 - 150,000; Full time

Job summary

Goldman Sachs is seeking a Machine Learning Engineer based in Dallas, West Virginia, to work on mission-critical projects utilizing cutting-edge technology. This role involves building scalable machine learning systems, collaborating with researchers, and driving end-to-end ML projects.

The ideal candidate will have a Bachelor's or Master's degree in Computer Science, 6+ years of experience in machine learning, and proficiency in Python and PySpark. This position offers an opportunity to leverage modern frameworks in a dynamic environment.

Qualifications

• 6+ years of hands-on experience with building scalable machine learning systems.
• Solid coding skills and strong Computer Science fundamentals.
• Experience with AWS/GCP and big data feature engineering.

Responsibilities

• Drive end to end Machine Learning projects with high scale and complexity.
• Collaborate closely with ML researchers for cutting edge models.
• Run ML experiments, tuning features and documenting results.

Skills

Machine Learning systems

Python

PySpark

Scala

AWS

GCP

Deep Learning frameworks

Education

Bachelor's or Master's in Computer Science

Tools

TensorFlow

PyTorch

Scikit-Learn

Job description

Goldman Sachs is seeking a Machine Learning Engineer based in Dallas, West Virginia, to work on mission-critical projects utilizing cutting-edge technology. This role involves building scalable machine learning systems, collaborating with researchers, and driving end-to-end ML projects.

The ideal candidate will have a Bachelor's or Master's degree in Computer Science, 6+ years of experience in machine learning, and proficiency in Python and PySpark. This position offers an opportunity to leverage modern frameworks in a dynamic environment.