Why Work For Us
Grubhub, part of Wonder Group Inc, is all about connecting hungry diners with our network of over 375,000 merchants 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!
Grubhub is looking for an innately curious, business-minded, results-oriented Data Scientist or Machine Learning Engineer to work in our Discovery and Foundation 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. We also build models and features that characterize our merchant and menu item corpus. 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 large language models 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
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 with language models, especially on imperfect grammars
Experience with Large Language Models (LLMs), including fine-tuning and deploying transformer-based architectures in real-world applications
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
Ability to keep up with the latest publications and synthesize research into working models
Deep interest in self-motivated continuous learning
The base salary for this position is below:
New York: $199,500 – $209,500
Grubhub uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate’s skills, education, training, credentials, and experience.
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.
Free Meals. Our employees get a weekly Grubhub credit to enjoy.
Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund. Employees are also given paid time off each year to support the causes that are important to them.
Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you’re applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to TalentAcquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
If you are a resident of the State of California and would like a copy of our CA privacy notice, please email privacy@grubhub.com.
