Machine Learning Engineer, PhD Intern
1 week ago
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and were building the team to help push our shopping cart forward. If youre ready to do the best work of your life, come join our table.
Instacart is a Flex First team
Theres no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best workwhether its from home, an office, or your favorite coffee shopwhile staying connected and building community through regular in-person events.
Learn more about our flexible approach to where we work.
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:
Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
Strong programming (Python, C++) and algorithmic skills.
Good communication skills. Curious, willing to learn, self-motivated, hands-on.
Preferred Qualifications:
Ph.D. student at a top tier university in the United States and/or Canada
Prior internship/work experience in the machine learning space
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy
here .
Offers may vary based on many factors, such as candidate experience and skills required for the role.
Please rea
d more about our benefits offerings
here .
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$50
$50 USD
WA
$47.50
$47.50 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$45
$45 USD
All other states
$42
$42 USD
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