Sr. Machine Learning Engineer

Grubhub

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 23 days ago
Vacancies: 1 Vacancy

Job Summary

Why Work For Us

Grubhubpart ofWonder Group Incis all about connecting hungry diners with our network of over 375000 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 were 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 hiveand 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: $208500

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 candidates skills education training credentials and experience.

And Of Course Perks!

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 youre 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 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


Required Experience:

Senior IC

Why Work For UsGrubhubpart ofWonder Group Incis all about connecting hungry diners with our network of over 375000 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 orderin...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

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