What are the responsibilities and job description for the AI/ML Engineering Intern (Summer 2026) position at Poshmark?
About Poshmark
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
🎯 About the Role
Poshmark’s AI/ML team is looking for an intern who can deliver on some of the most challenging Data Science/ML initiatives. As a market leader in Social Commerce, Poshmark faces a unique opportunity to utilize our massive multi-platform social and commerce data to shape social commerce and create value for our users. With 400 MM events per day and 30 terabytes of exponentially growing data, Poshmark presents a unique opportunity to innovate cutting edge AI/ML products. This internship provides an opportunity to learn about and contribute to Machine learning initiatives across product, marketing, Posh markets, operations and community and help solve some of the most challenging problems in social commerce like pricing, search ranking, product and people recommendation, fraud prevention and many more.
⚙️ What You’ll Do
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
🎯 About the Role
Poshmark’s AI/ML team is looking for an intern who can deliver on some of the most challenging Data Science/ML initiatives. As a market leader in Social Commerce, Poshmark faces a unique opportunity to utilize our massive multi-platform social and commerce data to shape social commerce and create value for our users. With 400 MM events per day and 30 terabytes of exponentially growing data, Poshmark presents a unique opportunity to innovate cutting edge AI/ML products. This internship provides an opportunity to learn about and contribute to Machine learning initiatives across product, marketing, Posh markets, operations and community and help solve some of the most challenging problems in social commerce like pricing, search ranking, product and people recommendation, fraud prevention and many more.
⚙️ What You’ll Do
- Build and deploy Machine Learning models to solve business problems
- Create a readable and comprehensive documentation of your work
- Implement new algorithms or tweak existing algorithms based on research papers
- Work on POCs to establish the feasibility of solving problems the existing team has not yet worked on
- Partner and collaborate with other AI/ML engineers and scientists
- Pursuing or just finished a degree in relevant quantitative field such as Statistics, Math, Computer Science or Data Science
- Familiarity with Machine Learning techniques and concepts (e.g. regression, classification, loss functions, evaluation metrics, ensembles, cross validation)
- Experience with Python, SQL, Java or Scala
- Familiarity with Spark or any other big data processing framework is a plus
- Good understanding of data structures and algorithms
- Good understanding of ML lifecycle and system architecture.
- Good written and verbal communication skills
- Willingness to learn new tools and techniques to get things done
- Demonstrated interest in Poshmark’s mission, community, or industry
- Current or rising senior enrolled in an accredited university, or recent college graduate
- Seniors should expect to graduate between Fall 2026 and Summer 2027
- Strong communication, collaboration, and curiosity
- Available to work a M-F 5-day work schedule between 8am-5pm
- Willing to commute 5x per week to PMHQ in Redwood City, CA
- No employment sponsorship required now or in the future
- Pytorch, Tensorflow, Sklearn
- Flask, Fastapi, Gunicorn, Quarkus
- MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog
- Docker, Kubernetes, Jenkins
- Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus