Grubhub is looking for a Data Scientist or Machine Learning Engineer to improve its recommendation systems for diners searching for restaurants and specific items. The goal is to drive orders and diner returns by providing relevant recommendations and to characterize the merchant and menu item corpus.
Requirements
- 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.
Responsibilities
- creating metrics to validate performance of models
- proposing new algorithmic approaches to improve our current system
- designing A/B tests
- identifying creative solutions to bridge state of the art information retrieval advanced and business and engineering requirements
- driving technology best practices and guiding the evolution of responsive systems
- creating documentation accessible to both technical and non-technical audiences
- creating and maintaining automated training jobs
Other
- MS/PhD in quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field etc) or equivalent experience
- 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
- mentoring junior data scientists
