Chewy currently has 18 active AI-related job listings. The majority of these roles are focused on agents, representing 44% of the openings. The company is hiring primarily for engineering positions, with one role in product. Recent hiring activity shows a significant increase, with 13 new AI roles posted in the last 30 days, a 1200% rise from the previous 30-day period.
Currently tracking 7 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $141k–$325k (avg $222k).
Chewy currently has 12 active AI-related roles in our index. The most common open titles are: Staff Machine Learning Engineer (2), Business Intelligence Engineer II, Data Scientist III, Director, Software Engineering, Machine Learning Engineer II. Most positions are in Engineering and Product.
Chewy's active AI hiring is concentrated in: agents (50%), serving infrastructure (33%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Chewy is hiring AI talent in: United States (12 roles).
Job postings at Chewy most frequently reference: model serving, inference infra, recommender systems, search ranking, llm observability.
In the past 30 days, Chewy has posted 9 new AI-related roles. That is a -36% change versus the prior 30 days (14 → 9).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist III Research Scientist III at Chewy focused on developing and implementing ML-based replenishment models to optimize supply chain outbound fulfillment. Requires a strong background in optimization and machine learning, with experience in cloud environments and deep learning/RL models. | DataPost-train | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at Chewy focused on applying AI/ML to improve big data and predictive applications. Responsibilities include designing, testing, and scaling frameworks, systems, and models, researching and implementing ML algorithms, and developing ML applications from design to deployment. Requires a Master's degree with 2 years of experience or a Ph.D. with 1 year of experience in a relevant quantitative field, with experience in AWS tools, Databricks, R, PySpark, PyTorch, TensorFlow, Docker, and various ML techniques. | Serve | 7 |
| Research Scientist II Research Scientist II at Chewy focused on developing and implementing models and solutions for complex supply chain problems using optimization, machine learning, statistics, and AI techniques. The role involves analyzing large datasets, collaborating with stakeholders, and implementing process improvements. Requires a Master's or Ph.D. in a quantitative field with experience in ML, optimization, cloud environments, and programming languages like Python and Spark. | Ship | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at Chewy to improve legal workflows using AI and automation. Focus on RAG architectures, document-centric use cases, and integrating solutions with existing systems. Requires experience building and deploying LLM-powered applications and working with business stakeholders. | Agent | 7 |
| AI Technologist II AI Technologist II at Chewy, focused on building and prototyping AI-powered systems. The role involves end-to-end ownership from problem identification to scaling successful prototypes, emphasizing trial, error, and iteration in an agile team environment. Requires hands-on experience in developing and deploying AI systems, Python proficiency, and strong analytical and experimental design skills. | Agent | 7 |
| AD, Data Science Associate Director of Data Science at Chewy, focusing on leading data science projects, developing and deploying ML models for retail applications (predictive analytics, NLP, generative AI, computer vision), and managing a team. Requires a Master's degree and experience in ML, cloud technologies, and production deployment. | Ship | 7 |
| Associate Director, Data Science Associate Director, Data Science at Chewy to lead the Customer Care AI and Advanced Analytics organization. This role involves leading a team of Data Scientists and ML Engineers, driving the vision and strategy for AI/ML capabilities in customer care, including customer-facing AI, agent-assist, intelligent routing, operational optimization, forecasting, and generative AI. The position requires strong technical depth, strategic thinking, and leadership to deliver scalable, data-driven solutions. | AgentPost-train | 7 |
| Research Scientist III Chewy is seeking a Research Scientist III with a background in optimization and machine learning (ML) to join the Supply Chain Outbound Science team. The role will focus on developing and implementing ML-based replenishment models to optimize outbound fulfillment and supply chain operations. Responsibilities include data analysis, model development, stakeholder collaboration, and process improvement. | DataPost-train | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at Chewy focused on Sponsored Ads. The role involves deploying ML and data science models to improve shopping experience, selection, ranking, relevance, click-through prediction, bidding, and auction algorithms for onsite and offsite advertising solutions. Key responsibilities include leading models from ideation to production, publishing research, establishing best practices, and mentoring junior scientists. Requires experience in building distributed pipelines, tuning, optimizing, and evaluation, with a background in Sponsored Ads or Advertisement domain, and techniques like predictive models, linear programming, classification, search, ranking, or large-scale embeddings. | Serve | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Chewy to work on Sponsored Ads Technology, influencing technical strategy across product search, discovery, relevance, ranking, prediction, and auction. The role involves deploying ML/DL models for ads offerings, optimizing selection, relevance, ranking, click-through prediction, and auction algorithms, and leading new models from ideation to production. Experience with sponsored ads, predictive models, classification, search, ranking, and large-scale embeddings is required. The role also involves publishing research and mentoring junior scientists. | AgentServe | 7 |
| Senior Director, Fulfillment Science & Technology Senior Director role leading a team of ~100 people (leaders, engineers, scientists, PMs, industrial engineers, robotics engineers) responsible for science and technology solutions powering Chewy's fulfillment network. Focus on AI, data science, automation, and robotics to optimize operations, customer experience, and cost efficiency. Requires a strong technical background in fulfillment, automation, robotics, software systems, and operational data science/AI. | Ship | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at Chewy focused on Sponsored Ads Technology. The role involves deploying ML and data-science models to improve various aspects of the advertising ecosystem, including selection, relevance, ranking, prediction, and auction algorithms. The engineer will lead new models from ideation to production, establish best practices, and potentially publish research. Experience in the advertising domain and building distributed pipelines is required. | Agent | 7 |
| Senior Software Engineer Senior Backend Engineer role focused on building and scaling ML-powered backend systems for Chewy's Ads platform. Responsibilities include architecture, implementation of low-latency services, MLOps, deploying and serving ML models, and partnering with Data Scientists. The role emphasizes reliability, scalability, and observability of production ML systems. | ServeAgent | 7 |
| Staff Software Engineer Staff Software Engineer at Chewy to lead the design and implementation of next-generation chatbot and search systems, leveraging LLMs, conversational AI, and vector search. This role involves technical leadership in architecting and deploying scalable systems on cloud infrastructure, collaborating with Data Science and Cloud Engineering. | Agent | 7 |