INTERNSHIP DETAILS

Machine Learning Engineer, PhD Intern

CompanyInstacart
LocationUnited States
Work ModeRemote
PostedFebruary 6, 2026
Internship Information
Core Responsibilities
The intern will work on high-impact problems at the intersection of LLM research, large-scale ML systems, and real-world e-commerce applications. Responsibilities may include improving search relevance, developing generative recommendations, and building evaluation frameworks.
Internship Type
full time
Salary Range
$44 - $52
Company Size
24131
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company.
About the Role
<div class="content-intro"><p><strong>We're transforming the grocery industry</strong></p> <p><span class="im">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.</span></p> <p>Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.</p> <p><strong>Instacart is a Flex First team </strong></p> <p>There’s 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 work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. <a href="https://instacart.careers/remote/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://instacart.careers/remote/&amp;source=gmail&amp;ust=1651869232122000&amp;usg=AOvVaw37OlxP8hAKN7nq4YwHQH7e">Learn more about our flexible approach to where we work.</a></p></div><p><strong>OVERVIEW</strong></p> <p>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.</p> <p>Machine learning is central to how we build intelligent shopping experiences at Instacart. We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. A few examples:</p> <ul> <li>We build state-of-the-art models powering Search, Discovery, and Ads, combining generative AI and traditional machine learning to create best-in-class recommendations</li> <li>We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in recommendations and other user experiences</li> <li>We redefine traditional domains across the company with AI, such as hyperpersonalized marketing and 0 → 1 meal planning products</li> </ul> <p>We are looking for talented Ph.D. students to join our fast-moving ML teams and work on high-impact problems at the intersection of LLM research, large-scale ML systems, and real-world e-commerce applications.</p> <p>&nbsp;</p> <p><strong>ABOUT THE JOB</strong></p> <p>Based on your passion and background, you may choose to work in a few different areas:</p> <ul> <li>Query understanding: Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and support downstream retrieval and ranking.</li> <li>Search relevance and ranking: Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models, including hybrid retrieval and ranking systems.</li> <li>Generative recommendations: Pushing the boundaries of where generative and traditional models intersect across retrieval and ranking systems; developing scalable feedback and reward modeling approaches for closed-loop learning (RFT).</li> <li>LLM evaluation and AIQA systems: Building LLM-based evaluation frameworks (e.g., <em>LLM-as-a-Judge</em>, self-critique) to improve the quality and reliability of generative and agentic systems.</li> <li>Low-latency and scalable LLM systems: Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments, balancing quality, cost, and latency through cascading, distillation, and selective generation.</li> <li>Knowledge graphs: Working on graph data management and knowledge discovery over one of the world’s largest grocery catalogs, and integrating structured knowledge with LLM-based reasoning and natural language interfaces.</li> <li>Sequence modeling: Building temporal models for user behavior prediction.</li> </ul> <p>&nbsp;</p> <p><strong>ABOUT YOU</strong></p> <p><strong><em>Minimum Qualifications:</em></strong></p> <ul> <li>Ph.D. student in computer science, mathematics, statistics, economics, or related areas.</li> <li>Strong programming (Python, Golang) and algorithmic skills.</li> <li>Solid foundations in machine learning, algorithms, or optimization</li> <li>Curious, self-motivated, and comfortable working on open-ended problems</li> </ul> <p>&nbsp;</p> <p><strong><em>Preferred Qualifications:</em></strong><strong>&nbsp;</strong></p> <ul> <li>Ph.D. student at a top tier university in the United States&nbsp;</li> <li>Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM)</li> <li>Prior industry or research internship in machine learning or AI</li> <li>Interest and experience in translating research ideas into scalable production systems</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;">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 </span><a href="https://instacart.careers/flex-first/" target="_blank">here</a>.</p> <p><span style="font-weight: 400;">Offers may vary based on many factors, such as candidate experience and skills required for the role. </span><span style="font-weight: 400;">Please rea</span><span style="font-weight: 400;">d more about our benefits offerings<strong> </strong></span><a href="https://instacart.careers/taste-of-instacart/" target="_blank">here</a>.&nbsp;</p> <p><span style="font-weight: 400;">For US based candidates, the base pay ranges for a successful candidate are listed below.</span></p></div><div class="title">CA, NY, CT, NJ</div><div class="pay-range"><span>$52</span><span class="divider">&mdash;</span><span>$52 USD</span></div></div><div class="pay-input"><div class="title">WA</div><div class="pay-range"><span>$50</span><span class="divider">&mdash;</span><span>$50 USD</span></div></div><div class="pay-input"><div class="title">OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI</div><div class="pay-range"><span>$48</span><span class="divider">&mdash;</span><span>$48 USD</span></div></div><div class="pay-input"><div class="title">All other states</div><div class="pay-range"><span>$44</span><span class="divider">&mdash;</span><span>$44 USD</span></div></div></div>
Key Skills
Machine LearningPythonGolangAlgorithmsOptimizationGenerative AILLMData ManagementKnowledge GraphsUser Behavior PredictionSearch RelevanceRanking SystemsFeedback ModelingNatural Language ProcessingE-commerceResearch
Categories
TechnologyData & AnalyticsEngineeringScience & ResearchSoftware