Top AI & Machine Learning Jobs

Design, develop, and deploy optimization and machine learning models for outbound supply chain replenishment. Analyze large supply-chain datasets, collaborate with cross-functional partners to translate business needs into technical solutions, implement process improvements, and communicate results to non-technical stakeholders.

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

Apply data science and operations research methods to analyze large, unstructured datasets, build statistical models and optimization algorithms, generate insights, and communicate findings to leadership. Develop processes, tools, and evaluations for complex problems using Python, visualization, and version control.

As a Senior Machine Learning Engineer, you'll develop and optimize models for Chewy's Sponsored Ads to enhance product selection and advertising effectiveness. You will collaborate with cross-functional teams, lead model deployment, and publish research to elevate machine learning applications while mentoring junior scientists.

The Staff Machine Learning Engineer will develop machine learning models to enhance advertising strategies, improving relevance, ranking and customer engagement for Chewy's sponsored ads.

Design, implement, test, deploy, and iterate machine learning and optimization models and systems. Collaborate with data scientists, engineers, and product managers to scale ML solutions, research new techniques, and improve data quality and predictive applications.

Build and scale ML platforms and data pipelines to support training, evaluation, and production model serving. Implement data ingestion, transformation, validation, APIs, and orchestration for end-to-end ML lifecycle. Adopt Spec-Driven Development and AI-assisted engineering practices while collaborating with data scientists and product teams.