• Data Scientist II (Machine Learning Engineer)

    Job Locations US-Remote
    Job ID
  • About The Opportunity

    Got a taste for something new?


    We’re Grubhub, the nation’s leading online and mobile food ordering company. Since 2004 we’ve been connecting hungry diners to the local restaurants they love. We’re moving eating forward with no signs of slowing down.


    With more than 85,000 restaurants and over 15.6 million diners across 1,600 U.S. cities and London, we’re delivering like never before. Incredible tech is our bread and butter, but amazing people are our secret ingredient. Rigorously analytical and customer-obsessed, our employees develop the fresh ideas and brilliant programs that keep our brands going and growing.


    Long story short, keeping our people happy, challenged and well-fed is priority one. Interested? Let’s talk. We’re eager to show you what we bring to the table.


    Grubhub is looking for an innately curious, business-minded, results-oriented machine learning engineer. In this highly visible role, you will deploy and maintain models predicting various aspect of the business’ logistics.

    Specific responsibilities include, but are not limited to, problem solving, deployment of predictive models, implementation and maintenance of the framework supporting those models.

    Some Challenges You’ll Tackle

    • Own our production forecasting systems! Tend to and nurture the systems that let us get drivers on the road making deliveries.
    • Make sure the machine learning libraries we rely on are stable and usable. Dig into the source and fix them if you have to!
    • Ensure the our science code is maintainable, scalable and debuggable
    • Automate and abstract away repeatable routines that are present in most machine learning tasks
    • Bring the best software development practices to our data science team and be a force multiplier to their work
    • Choose the best operational architecture together with SRE team
    • Constantly look for performance improvements and decide which ML technologies we use in production

    You Should Have

    • 2-5 years of experience deploying and maintaining machine learning models to solve real-world problems in a production, cloud-based environment
    • MSc or PhD in statistics, mathematics, computer science or another quantitative field
    • Expert programming skills in Python
    • Data querying capabilities using SQL
    • Ability to explain technical concepts in simple terms to business stakeholders


    Got These? Even Better

    • Experience developing novel regression, GLM, tree-based and Bayesian models with Python
    • Experience with distributed data and computing tools like Spark, Hive and Presto
    • Experience using AWS cloud infrastructure
    • A knack for analyzing and improving processes using data

    And Of Course, Perks!

    • Unlimited paid vacation days. Choose how your time is spent.
    • Never go hungry! We provide weekly GrubHub/Seamless credit.
    • Regular in-office social events, including happy hours, wine tastings, karaoke, bingo with prizes and more.
    • Company-Wide Initiatives encouraging innovation, continuous learning and cross-department connections.


    We deliver favorites every day. Join us as we move eating forward.

    Grubhub is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. The EEO is the Law poster is available here: DOL Poster. Grubhub is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to TalentAcquisition@grubhub.com and let us know the nature of your request and your contact information.


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