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Job Details

Skills

Sales
Artificial Intelligence
Fraud
Build Tools
Collaboration
Stacks Blockchain
Software Engineering
Data Science
Machine Learning (ML)
SQL
Writing
Flask
Docker
Kubernetes
Redis
Amazon Redshift
MongoDB
Apache Kafka
RabbitMQ
Amazon Kinesis
scikit-learn
PyTorch
TensorFlow
Apache Spark
Amazon SageMaker
Kibana

Summary

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.

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.

Desired Skills & Experience:

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.

Technologies we use:

Flask, Docker, Kubernetes
Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis
sklearn, pyTorch, Tensorflow, Spark
Mlflow, Sagemaker, Kibana, Airflow

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183640
Position Id: cd43952c0090000e5e0ec6a4effcd696
Posted 30+ days ago

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Software Engineer II, Machine Learning

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