• CIMD - Marcus by Goldman Sachs - Machine Learning Engineer

    Location(s) US-NY-New York
    Job ID
    Schedule Type
    Full Time
    Engineering, Technology
    Business Unit
    Employment Type

    Consumer and Investment Management (CIMD)

    The Consumer and Investment Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and our Consumer business (Marcus by Goldman Sachs). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.



    Consumer, externally known as Marcus by Goldman Sachs, is comprised of the firm’s digitally-led consumer businesses, which include our deposits and lending businesses, as well as our personal financial management app, Clarity Money. Consumer combines the strength and heritage of a 150-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency and simplicity to help them make smarter decisions about their money.


    Your Impact

    Clarity Money is a business recently acquired by Goldman Sachs that offers a revolutionary AI- and machine learning-based product for consumers to improve their financial health. Ushering in a new era of mobile personal finance management apps, Clarity Money uses artificial intelligence and data science to help consumers make smarter financial decisions and get the most from their money. The revolutionary features allow users to cancel bills, get a better credit card and create a savings account, all from within the app, and all at the push of a button.


    The Clarity Money team is actively seeking a motivated Data Engineer with proven industry experience in machine learning, data engineering and building robust data pipelines. Strong computer science fundamentals are key to success in this role. The ideal candidate should be an individual contributor, a positive team player and willing to get things done.



    • Build platforms to accelerate deployment of ML/NLP/AI Models
    • Build ETL pipelines to derive and store features and insights out of raw datasets
    • Build orchestration using Airflow or other open sources libraries
    • Document, design, code and test applications and model outcomes
    • Work on model explainability and governance
    • Closely collaborate with product and marketing teams on delivering new product features, perform exploratory data analysis and/or build data pipelines and APIs
    • Build measure and report KPIs and explain complex concepts in non-technical terms


    • At least a Bachelor’s degree, preferably in a quantitative/STEM field - Applied Mathematics, Physics, Engineering, Computer Science etc.
    • 2+ years of open source Machine Learning algorithm development experience in Python and AWS
    • 2+ years of building data pipelines, feature extractions, Flask/Django APIs and scalable model deployments
    • 2+ years of experience with pandas, jupyter notebooks and sklearn
    • 2+ years of hands on experience with advanced SQL queries and database knowledge of RDMS, Column based, NoSql, etc.
    • 2+ years of experiences in working in AWS or other Cloud computing environments


    Preferred Qualifications

    • Masters in Computer Science, Engineering or Information Systems
    • 4+ years of experience in software development using Python, RESTful API, Spark, and ML libraries
    • 4+ years of experience in cloud environments like AWS stack or GCP Stack


    The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

    © The Goldman Sachs Group, Inc., 2019. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.