Quicken Loans

  • Machine Learning Engineer

    Quicken Loans Inc.
  • Who We Are

    We’re America’s largest mortgage lender, closing loans in all 50 states. J.D Power ranked Quicken Loans “Highest in Customer Satisfaction in Primary Mortgage Origination” for the past eight consecutive years, 2010 – 2017. The company was also ranked highest in the nation for client satisfaction among mortgage servicers by J.D. Power for four consecutive years, 2014 through 2017, each year the company was eligible. There’s a simple reason we’ve been so successful: We care about the people we work with.


    If you’re tired of stuffy, bureaucratic workplaces, then you’ll be delighted to find something different here. We strive to make a creative, fun and collaborative environment you simply won’t find anywhere else. Quicken Loans was named #1 in ESSENCE Magazine’s first ever list of “Best Places to Work for African Americans” in 2015. We've been on Computerworld's "Best Places to Work in IT" list for 13 years running, hitting #1 the last five years. We were also ranked #14 in FORTUNE Magazine’s list of "100 Best Companies to Work For" in 2018, remaining in the top-30 for the past 15 years.

    What You'll Do/Need

    The Machine Learning Engineer (MLE) designs and develops the platform and frameworks that facilitate automated data-driven decision-making. This team member collaborates with Data Scientists to design tools to train machine learning models using data from across the enterprise and deploy machine learning services at various decision points across the business process. The MLE participates in the acquisition of data and the development of the modeling pipeline and builds the necessary integrations to deliver decisions at the right time. This person builds tools for monitoring the performance of machine learning applications and develops the necessary failsafe procedures that ensure the delivery of the most optimal decisions. The MLE develops tools that allow interactive exploration of machine learning models and runs simulations of various business scenarios.

    MLEs are part of a community that participates in code reviews, design reviews, extracting best practices and researching new methods.




    • Work with Data Scientists and Business Analysts to frame problems within a business context.
    • Build data pipelines that pull data from various sources
    • Collaborate with Data Scientists to develop algorithms and tools for training and running simulations
    • Develop services that host the trained models and work with other application teams to integrate them into business processes
    • Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect domain experts’ feedback
    • Participate in code reviews to ensure code quality and share best practices and experiences with the team



    • Master’s degree in computer science or a related field
    • Ph.D. or three years of professional or research experience with software development, algorithm design, modeling or machine learning
    • Familiarity with various machine learning methods
    • Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
    • Experience building and productionizing micro-services and APIs
    • Knowledge of machine learning libraries like Scikit-learn, TensorFlow, Caffe, Keras, etc.
    • Experience working with large datasets, both structured and unstructured
    • Familiarity with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka) and experience using a distributed computing platform, such as Spark
    • Familiarity with a user interface framework such as Angular or React
    • Great verbal and written communication skills

    What’ll Make You Special


    • Experience working with cloud computing providers such as AWS or Azure

    What You'll Get

    • Excellent benefits package that includes a 401(k) match, medical/dental/vision insurance and much more
    • Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training
    • Other incentives, contests and rewards, including trips, event tickets, cash prizes and more

    Why We're Different


    Corporate politics not your strong suit? The anti-corporate culture of Quicken Loans gives our team members the initiative to build solutions together and grow both personally and professionally. At Quicken Loans, we’re in the business of putting roofs over our clients’ heads, but we certainly aren’t putting ceilings on our team members’ careers. If you’re interested in working in a place with a philosophy that’s truly different, apply today.


    Quicken Loans is an equal opportunity employer.


    Disclaimer: Quicken Loans received the highest numerical score in the proprietary J.D. Power 2010 – 2016 Primary Mortgage Origination studies and the 2014 – 2017 Primary Mortgage Servicer studies. 2016 Origination (or Sales) based on 5,182 total responses and measures the opinions of customers who originated a new mortgage or refinanced within the past 12 months, surveyed in July – August 2016. 2017 Servicing based on 7,374 total responses and measures the opinions of homeowners on their mortgage servicing company, surveyed in March – April 2017. Your experiences may vary. Visit JDPower.com.

    ​Quicken Loans is the #1 online lender based on the ranking of Quicken Loans in comparison to online residential mortgage lenders included in the Inside Mortgage Finance "Top 50 Mortgage Lenders" report from Q2 2017.


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