Compliance-New York-Associate-Machine Learning Engineering

$115,000 - $180,000/Yr

Goldman Sachs - New York, NY

Full-time - Entry Level

New York, NY

251-500 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Machine Learning Engineering Associate position within the Compliance Division at Goldman Sachs focuses on developing and deploying high-quality machine learning models to address complex regulatory and reputational risks. The role involves working with large-scale structured and unstructured data, building infrastructure for machine learning, and collaborating with ML researchers to enhance model performance.

Responsibilities

• Work with large scale structured and unstructured data.
• Drive end-to-end Machine Learning projects that have a high degree of scale and complexity.
• Build infrastructure for machine learning, including feature engineering and scaling models.
• Develop, productionize, and maintain machine learning models.
• Run ML experiments by tuning features and modeling approaches, documenting findings and results.
• Collaborate closely with ML researchers to accelerate the usage of cutting-edge models.
• Perform code reviews and ensure code quality.

Requirements

• Bachelor's or Master's degree in Computer Science or a similar field.
• 2+ years of hands-on experience with building scalable machine learning systems.
• Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design).
• Expertise in Python & PySpark.
• Experience with distributed technologies like Scala, PySpark, Iceberg, HDFS file formats (avro, parquet), AWS/GCP, big data feature engineering.
• Experience in system design and evaluating database choices, schema definition for data storage.
• Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace).

Nice-to-haves

• Prior experience with LLMs and Prompt Engineering.
• Prior experience in architecting/deploying ML applications on AWS/GCP.
• Prior experience in code reviews/architecture design for distributed systems.

Benefits

• Competitive salary range of $115,000 - $180,000.
• Eligibility for a discretionary bonus based on fiscal year-end performance.