Sr. Machine Learning Engineer

Grubhub

66d • $208,500

About The Position

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.

Requirements

• 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

Responsibilities

• Create documentation accessible to both technical and non-technical audiences
• Mentor junior data scientists
• Create and maintain automated training jobs
• Create metrics dashboards and alerts
• Advise best algorithmic trade offs to business stakeholders
• Drive orders and diner returns via enticing and relevant recommendations for searches
• 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

Benefits

• Flexible PTO / PTO
• Excellent medical, dental and vision benefits
• 401k
• Employee network groups
• Paid parental leave
• Weekly Grubhub credit for free meals
• Paid time off to support community causes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees