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 |
|---|---|---|
| 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 |
| 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 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 |
| Software Engineer II Software Engineer II at Chewy focused on building and scaling platforms for Data Science and AI capabilities, including data pipelines, ML platforms, and serving infrastructure. The role involves supporting ML model training, evaluation, and deployment, with an emphasis on AI-assisted engineering and LLM integration. | ServeData | 5 |
| Machine Learning Engineer III This Machine Learning Engineer III role focuses on designing and implementing cloud architectures for end-to-end machine learning workflows, including data preprocessing, model training, and deployment. The role involves utilizing Infrastructure as Code (IaC) tools, containerization, and orchestration for deploying and scaling ML applications. Experience with AWS tools like SageMaker, PyTorch, TensorFlow, Docker, Kubernetes, MLflow, and inference optimization is required. | Serve | 5 |
| Data Scientist II Data Scientist II role focused on developing and deploying machine learning infrastructure and data pipelines in production environments. Responsibilities include building, deploying, and scaling ETL pipelines and ML models, querying and transforming large datasets, developing and evaluating supervised and unsupervised models, and communicating insights to management. Requires a Master's degree and 3 years of experience with ML frameworks, cloud services (Lambda, Glue, S3, SageMaker), distributed computing (Snowflake, Spark), Python, Docker, and visualization tools. | Serve | 5 |
| Staff Software Engineer Staff Software Engineer role focused on building and optimizing ML-driven distributed systems for search, recommendations, and personalization on the Chewy website. This role involves technical leadership, system design, and collaboration with ML/Data Science teams to integrate models into customer-facing applications and marketing technology stack. | Serve | 5 |