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This listing was closed on Jul 18, 2026.
Browse Open JobsCompliance, Machine Learning Engineer, Dallas, Vice President
DALLAS · US
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Full-time
DIRECTOR
About the Role
Goldman Sachs Compliance Engineering is seeking an experienced Machine Learning Engineer to develop and deploy scalable ML models for regulatory and reputational risk management. You will work with large-scale structured and unstructured data, lead end-to-end ML projects, and collaborate with researchers.
Responsibilities
- Work with large-scale structured and unstructured data
- Drive end-to-end Machine Learning projects with high scale and complexity
- Build infrastructure for ML including feature engineering and scaling models
- Develop, productionize, and maintain ML models
- Run ML experiments, tune features and modeling approaches, document findings
- Collaborate with ML researchers to accelerate adoption of cutting-edge models
- Perform code reviews and ensure code quality
Requirements
- Bachelor's or Master's degree in Computer Science or related field
- 10+ years hands-on experience building scalable machine learning systems
- Solid coding skills and strong CS fundamentals (algorithms, data structures, software design)
- Expertise in Python & PySpark
- Experience with distributed technologies: Scala, PySpark, Iceberg, HDFS (avro, parquet), AWS/GCP, big data feature engineering
- Experience in system design and evaluating database choices, schema definition
Goldman Sachs
New York · US
Goldman Sachs is a global financial institution headquartered in New York that provides a broad range of financial services. It maintains offices worldwide and has a large global presence across major financial centers.
