Instacart
1001 - 5000 employees
Founded 2012
🛍️ eCommerce
🚗 Transport
🛒 Retail
💰 $232M Venture Round on 2021-11
eCommerce • Transport • Retail
Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.
Machine Learning Engineer, PhD Intern
🕒 June 10
🏄 California, Colorado, +17 more states – Remote
💵 $42k - $50k / year
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Instacart
1001 - 5000 employees
Founded 2012
🛍️ eCommerce
🚗 Transport
🛒 Retail
💰 $232M Venture Round on 2021-11
eCommerce • Transport • Retail
Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.
📋 Description
• Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and support downstream retrieval and ranking. • Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models. • Developing scalable feedback and reward modeling approaches for closed-loop learning (RFT). • Building LLM-based evaluation frameworks to improve the quality and reliability of generative and agentic systems. • Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments. • Working on graph data management and knowledge discovery over one of the world’s largest grocery catalogs. • Building temporal models for user behavior prediction.
🎯 Requirements
• Ph.D. student in computer science, mathematics, statistics, economics, or related areas • Strong programming (Python, Golang) and algorithmic skills • Solid foundations in machine learning, algorithms, or optimization • Curious, self-motivated, and comfortable working on open-ended problems • Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM) • Prior industry or research internship in machine learning or AI • Interest and experience in translating research ideas into scalable production systems
🏖️ Benefits
• Highly market-competitive compensation and benefits • Flex First remote work policy • Professional development opportunities
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