Sr. Machine Learning Engineer

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!

About the Opportunity

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

• Collaborate with Product and Engineering teams to understand new product ideas, assess risks and ensure that the necessary data is available

• 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 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

Base Salary

New York: $208,500

Wonder 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 / PTO. Grubhub employees enjoy a generous amount of time to recharge.

• Health and Wellness. Excellent medical, dental and vision benefits, 401k, employee network groups and paid parental leave are just a few of ou