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 as a business has unique challenges when it comes to search relevance and ranking. We have to consider diner to restaurant distance, market demand during the time of day (Dinner Rush, etc), restaurant opening hours, restaurant density, restaurant quality, traffic and driver demand. All of these aspects impact our ability to provide quality service. Relevance and ranking are key features that help us provide quality service to our diners.
Some Challenges You’ll Tackle
- Building and improving large scale deep learning and collaborative based recommender system to provide accurate user recommendations.
- Explore large volumes of diverse data sets (clickstream, user orders, geo location) to find cohorts and fine tune/personalize recommendations to improve user conversion (E.g: Using Factor Analysis).
- Using sound scientific guiding principles in analysis, model training, testing and validation of the data models to create precise, high performing and reliable models to be used in product.
- Using software principles to write functional, scalable, tested and clean deployable code, during the implementation stage of algorithms.
- Collaborate and work closely with Engineering, Product and Design to create high quality reliable products.
You Should Have
- Hands-on experience in predictive modeling and analysis
- Programming - Our team pushes very hard to scale through automation. Advanced Python and Spark skills are very relevant to this job.
- SQL experience - Experience in transactional and data warehouse environments using MySQL, Hive, or other database systems. Must deeply understand joins, subqueries, window functions, etc.
- PhD or Masters in quantitative discipline.
- Experience building and fine tuning deep learning based systems or large scale collaborative and content based recommendation systems is a plus
- Humility - Admit when you’re wrong and make a mistake, then let’s laugh about it. You might even make our achievements board!
Got These? Even Better:
- Good understanding of data structures and computational complexity.
- Working knowledge of Scala or interest to pick up new programming languages.
- You know how to sell an idea to a large group of people. Internal PR is important.
- Predictive Analytics- Clustering, regression, neural networks, etc.
- Blog/portfolio/Github links
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.