Machine Learning Engineer, Phd Intern

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use Machine Learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Job

Based on your passion and background, you may choose to work in a few different areas:

• Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
• Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
• Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
• Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
• Fraud detection and prevention - Using cost sensitive learning to reduce loss.
• Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
• Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications: