Compliance-New York-Vice President-Software Engineering

Compliance-New York-Vice President-Software EngineeringNew York, New York, United StatesJob DescriptionAre you passionate about delivering mission-critical, high quality machine learning models, using cutting-edge technology,in a dynamic environment?OUR IMPACTWe are Compliance Engineering,a global team of more than 300engineers and scientists whowork on the most complex, mission-critical problems.We:build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm.have access to the latest technology andto massive amounts of structured and unstructured data.leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications.Within Compliance engineering, we are hiring for a Machine Learning Engineering role within Models Engineering. The firmis making a significant investment improve the precision/ recall of the Compliance models portfolioin 2024. To achieve that we are hiring experienced MLEs who have experience of developing and deploying ML models for big data in a distributed architecture.HOW YOU WILL FULFILL YOUR POTENTIALAs a member of our team, you will:Work with large scale structure and unstructured data. Drive end to end Machine Learning projects that have a high degree of scale and complexityBuild infra for machine learning which involves feature engineering and scaling models to work at scaleDevelop, productionize, and maintain ml modelsRun ML experiments by constantly tuning the features and the modeling approaches, documenting findings and resultsCollaborate closely with ML researchers, to accelerate the usage of cutting edge modelsPerform code reviews and ensure code qualityQUALIFICATIONSA successful candidate will possess the followingattributes:A Bachelor's or Master's degreein Computer Science, or a similar field of study.10+ years of hands‑on experience with building scalable machine learning systemsSolid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design)Expertise in Python & PySparkExperience in working with distributed technologies like Scala, Pyspark, Iceberg, HDFS file formats (avro, parquet), AWS/ GCP, big data feature engineering.Experience in system design and evaluating the pros and cons of database choices, schema definition for data storage.Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace)Experience in some ofthe following is desired and can set you apart from other candidates:Prior experience with LLMs and Prompt EngineeringPrior experience in architecting/ deploying ML applications on AWS/ GCPPrior experience in code reviews/ architecture design for distributed systems.Equal Opportunity StatementWe’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law #J-18808-Ljbffr