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.
Our AI / Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
The Machine Learning Engineering team at Poshmark is looking for an experienced machine learning engineer to take care of Poshmark’s requirement to take machine learning models with varying requirements to production ..
Responsibilities:Build tools and infrastructure to democratize ML
Productionizing ML models in collaboration with the Data Science and other Engineering teams.
Maintain and support existing platforms and evolve to newer technology stacks and architectures.
2-3 years of relevant software engineering experience with data intensive applications
Good understanding of data science concepts and machine learning lifecycle
Good understanding of spark and sql and prior experience with writing backend apis
Flexible and open to trying out newer technologies and adopting them as and when needed.
Flask, Docker, Kubernetes
Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis
sklearn, pyTorch, Tensorflow, Spark
Mlflow, Sagemaker, Kibana, Airflow
Skills Required
- 2-3 years of relevant software engineering experience with data intensive applications
- Good understanding of data science concepts and machine learning lifecycle
- Good understanding of spark and sql and prior experience with writing backend apis
- Flexible and open to trying out newer technologies
Poshmark Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Poshmark and has not been reviewed or approved by Poshmark.
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Healthcare Strength — Healthcare coverage is described as fully sponsored from date of hire, including medical, dental, and vision with strong dependent coverage. Mental-health support and additional options like disability, life, FSA, and pet insurance broaden the health offering.
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Leave & Time Off Breadth — Time-off provisions are described as robust, spanning accrued PTO, holidays and floating holidays, wellness days, bereavement, jury duty, and paid volunteer time. The breadth of leave types suggests strong coverage across common life events and recovery time.
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Wellbeing & Lifestyle Benefits — Lifestyle perks include a monthly stipend, fitness support, commuter benefits, meals/snacks, and home-office support for remote work. These benefits add ongoing quality-of-life value beyond base pay.
Poshmark Insights
What We Do
Poshmark is a leading social marketplace for new and secondhand style for women, men, kids, pets, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and sustainable. Its community of more than 80 million registered users across the U.S., Canada, Australia, and India, is driving the future of commerce while promoting more sustainable consumption. Read more about Postmark's acquisition by Naver, Korea’s largest internet company, here: https://investors.poshmark.com/news/news-details/2022/Naver-to-Acquire-Poshmark/default.aspx
Why Work With Us
At Poshmark we are a team who Focus on People, Lead with Love, Grow Together & Embrace our Weirdness. We are a community based culture where you feel our core values internally and externally. Join our team and feel good about what you're doing and where you're going.
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