About The Opportunity
We're all about connecting hungry diners with our network of over 300,000 restaurants nationwide. Innovative technology, user-friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering. When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process!
Why Work For Us
Grubhub is a place where authentically fun culture meets innovation and teamwork. We believe in empowering people and opening doors for new opportunities. If you're looking for a place that values strong relationships, embraces diverse ideas-all while having fun together-Grubhub is the place for you!
Grubhub is looking for an innately curious, business-minded, results-oriented Data Scientist or Machine Learning Engineer to work in our Search and Discovery team. We are focused on providing high quality recommendations to diners who are exploring restaurants in their area as well as those who are searching for something specific. As a member of this highly collaborative team you will partner with other data scientists, engineering, and product to deliver new run time models and services. You will be responsible for creating metrics to validate performance of models, proposing new algorithmic approaches to improve our current system, designing A/B tests, and identifying creative solutions to bridge state of the art information retrieval advanced and business and engineering requirements. Additionally you will be driving technology best practices and guiding the evolution of responsive systems. Some specific responsibilities include but are not limited to creating documentation accessible to both technical and non-technical audiences, mentoring junior data scientists, creating and maintaining automated training jobs, creating metrics dashboards and alerts, advising best algorithmic trade offs to business stakeholders.
Our team practices end to end project ownership and our work focuses heavily on personalized recommendation and classification from content and clickstream. Deep neural networks, transfer learning from pretrained large scale models, classic regressions, fine tuning, and one shot learning all have a place in our daily lexicon.
The Impact You will Make
• Help the business gain insights from recommendations in search and discovery with regard to short and long term metrics
• Drive orders and diner returns via enticing and relevant recommendations for searches
• Bring state of the art advances in IR systems to our runtime environment. Assess new algorithms and business policies
• Model system interactions and diner behaviors for search and discovery
• Inform real-time data requirements design
• Collaborate with Product and Engineering teams to understand new product ideas, assess risks and ensure that the necessary data is available
• Understand our brands, markets, user behaviors, and long-term trends and help characterize these
• Design and develop data-driven products to inform business decisions using metrics.
• Discover new and innovative ways to refine what we're doing and question existing assumptions.
• Relentlessly analyze and improve the performance of our business.
What you bring to the table:
• MS/PhD in quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field etc) or equivalent experience
• 4+ years experience with data analytics, machine learning, or related field
• 2+ years experience in applied predictive modeling with TensorFlow
• 2+ years experience in information retrieval or recommendation systems
• Experience language modeling, especially on imperfect grammars
• Experience tuning runtime models using GPUs
• Experience in data engineering and feature preparation in pyspark, hive,and the python data stack.
• Comfort communicating performance metrics, model details, and features specifications to technical and non-technical audiences
• Experience deploying machine learning models to production
• Ability to keep up with the latest publications and synthesize research into working models
• Deep interest in self-motivated continuous learning
NYC Salary Range: $171,500 - $236,000
The Base Pay component of our Total Rewards package is based on a variety of factors including but not limited to: job responsibilities, location, experience and, education/certifications. In addition to the pay component, this role may be eligible for equity and benefits as part of the Total Rewards package. The Total Rewards package will be determined at the time a contingent offer is made.
And Of Course, Perks!
• Flexible PTO. Grubhub employees enjoy a generous amount of time to recharge.
• Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.
• Compensation. You'l
Location: New York, NY, United States
Posted: Aug. 12, 2024, 5:04 p.m.
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