Chewy
Retail · Online pet retailer
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).
Retail · Online pet retailer
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 |
| 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 |
| Data Scientist II Data Scientist II role focused on developing data science infrastructure and pipelines, utilizing machine learning and statistical frameworks for deployment, and creating algorithms to optimize models and business metrics. Requires experience with large datasets, distributed computing, AWS tools (Redshift, Snowflake, SageMaker), Python, and data visualization. | Data | 5 |
| Data Scientist III Data Scientist III role focused on developing and deploying machine learning infrastructure, data pipelines, and algorithms to improve data quality, optimize products, and drive business metrics. Requires experience across the data science lifecycle, proficiency in programming languages and ML frameworks, and cloud platform experience. | Data | 5 |
| Data Scientist III Data Scientist III role focused on developing machine learning infrastructure, data pipelines, and algorithms to improve data quality, optimize products, and reduce computational complexity. The role involves the full data science lifecycle, from data preparation to model deployment, with a focus on improving business metrics and guiding engineering for scalable solutions. | Data | 5 |
| Data Scientist III Data Scientist III at Chewy focused on developing machine learning infrastructure, data pipelines, and algorithms to improve data quality, optimize products, and drive business decisions. The role involves the full data science lifecycle from data preparation to model deployment and requires experience with cloud platforms and various programming languages and ML frameworks. | Data | 5 |