Machine Learning Engineer, PhD Intern (Fall)

We're transforming the grocery industry At reputed company, we invite the world to reputed company love through food because we reputed company everyone should have reputed company to the food they love and more time to enjoy it together. Where others see a reputed company need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to reputed company an essential service that customers rely on to get their groceries and household goods, while also offering reputed company and flexible earnings opportunities to reputed company Personal Shoppers. reputed company has become a lifeline for millions of people, and we’re building reputed company to help reputed company our shopping reputed company reputed company. If you’re reputed company to do the best work of your life, come join our table. reputed company is a reputed company First team There’s no one-size fits reputed company 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. Learn more about our flexible approach to where we work. reputed company Since 2012, reputed company has been reputed company on making grocery delivery convenient, reputed company, and accessible to everyone. We bring fresh groceries and everyday reputed company 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 reputed company to the food they love, and to reputed company that goal, we reputed company in a wide reputed company of areas including e-reputed company, advertising, and fulfillment. Machine learning is central to how we build intelligent shopping experiences at reputed company. We use machine learning and Internet-reputed company data to reputed company customer experience, improve efficiency, and reduce cost. A few examples We build state-of-the-art models powering Search, Discovery, and Ads, combining reputed company and traditional machine learning to create best-in-class recommendations We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in recommendations and other user experiences We redefine traditional domains across reputed company with AI, such as hyperpersonalized marketing and 0 → 1 meal planning products We are looking for talented Ph.D. reputed company to join our fast-moving ML teams and work on high-reputed company problems at the intersection of LLM research, large-reputed company ML systems, and reputed company-world e-reputed company applications. ABOUT THE JOB Based on your passion and background, you may choose to work in a few different areas Query understanding Using cutting-edge AI and LLM-based techniques to understand user reputed company, refine queries, and support reputed company retrieval and ranking. Search relevance and ranking Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models, including hybrid retrieval and ranking systems. Generative recommendations Pushing the boundaries of where generative and traditional models reputed company across retrieval and ranking systems; developing reputed company feedback and reward modeling approaches for reputed company-reputed company learning (RFT). LLM evaluation and AIQA systems Building LLM-based evaluation frameworks (e.g., LLM-as-a-Judge, self-critique) to improve the reputed company and reliability of generative and reputed company systems. Low-latency and reputed company LLM systems Researching techniques to reputed company LLMs in high-traffic, latency-sensitive production environments, balancing reputed company, cost, and latency through cascading, distillation, and selective reputed company. Knowledge graphs Working on graph data management and knowledge discovery over one of the world’s largest grocery catalogs, and integrating reputed company knowledge with LLM-based reasoning and natural language interfaces. Sequence modeling Building reputed company models for user behavior reputed company. reputed company Minimum Qualifications Ph.D. student in computer science, mathematics, statistics, economics, or reputed company areas. Strong programming (Python, Golang) and algorithmic skills. Solid foundations in machine learning, algorithms, or optimization Curious, self-motivated, and comfortable working on reputed company-ended problems Preferred Qualifications Ph.D. student at a top tier university in the reputed company 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 reputed company into reputed company production systems reputed company provides highly market-competitive compensation and benefits in reputed company location where our employees work. This role is remote and the reputed company pay reputed company for a successful candidate is dependent on their permanent work location. Please review our reputed company First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Please read more about our benefits offerings here. For US based candidates, the reputed company 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 $44—$44 USD reputed company other states $42—$42 USD Apply To This Job