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 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.
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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |