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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
187 open roles
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Listed pay typically runs
$130,000–$250,000
across 60 roles with salary data.
Join the Models Engineering team within Compliance Engineering as a Machine Learning Engineer, where you will work on mission-critical projects to enhance the precision and recall of compliance models. Your day-to-day responsibilities include driving large-scale machine learning initiatives from end to end, building scalable ML infrastructure through feature engineering, and deploying models in distributed architectures. You will collaborate with researchers to integrate cutting-edge techniques, conduct rigorous experiments, document results, and ensure high-quality code through reviews. The role requires expertise in Python, PySpark, TensorFlow, PyTorch, and extensive experience with big data technologies such as Scala, Iceberg, HDFS, and cloud platforms like AWS or GCP. Ideal candidates have a strong background in computer science fundamentals and 10+ years of hands-on experience in scalable ML systems.