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    Job · 20658070

    CHENNAI · FULLTIME

    Staff Engineer, Machine Learning

    Poshmark

    Poshmark

    Chennai · onsite · Posted 12d ago

    Sourced fromFoundit
    Not disclosed8–10 yrsfulltimeChennai

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    Section · 01

    About this role

    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.

    Staff Engineer Machine Learning

    Big Data team is a central player in the Poshmark organization. Our mission is to build a world-class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, build data and ML pipelines to fuel existing and new business critical initiatives.

    We are looking for exceptional, creative and passionate Machine Learning engineers to join our ML and Big Data Team. You will be responsible for building and owning the next-generation of algorithms and systems that would have critical business impact for Poshmark and improve the user experience for our millions of users

    Responsibilities

    • Explore large datasets, research and develop algorithms/models to solve interesting business problems.
    • Design and code highly scalable, machine learning applications processing large volumes of data.
    • Collaborate with multiple teams - data science, business, engineering and help deliver Machine learning based Data products across the company.
    • Develop best practices and tools to enable robust delivery of features
    • Design and improve architecture in order to ensure horizontal scalability at all layers

    Ideal Candidate

    • Strong background in Machine Learning with deep understanding of algorithms and modeling techniques
    • 8+ years of overall software development experience with at least 5+ years of industry experience applying Machine Learning to concrete problems
    • Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras
    • Understanding of distributed systems, and large scale engineering challenges is plus.

    Technologies we use

    • Scala, Python
    • MongoDB, Redshift, Druid
    • Airflow, Jenkins
    • Spark, SparkML, Kinesis

    Why Poshmark

    Poshmark is a leading social commerce platform for the next generation of retailers and shoppers. Through technology, our mission is to build the world's most connected shopping experience, while empowering people to build thriving retail businesses.

    Sourced from foundit

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    Section · 02

    Skills

    JenkinsApache SparkScalaaws kinesiskerasbig data technologiesredshiftapache airflowDruidPytorchTensorflowPythonMongoDBSpark MLMachine Learning

    Section · Company

    About Poshmark

    Poshmark

    Poshmark

    Internet

    51

    employees

    2011

    15 years old

    Redwood City,California

    United States

    About

    Poshmark is the largest community marketplace for fashion where anyone can buy, sell and share their personal style. With millions of shoppers and sellers, Poshmark brings together a vibrant community to express themselves and share their love of fashion and more.


    Poshmark focuses on people -- through this we create empowering communities driven by passion and mutual support. Each member of our team embraces their uniqueness, which allows us to welcome others and drive innovation through dynamic thinking, collaboration, and diversity.

    Industries

    Internet

    Employee ratings

    33 reviews

    4.0/ 5

    Culture

    4.5

    Career growth

    3.1

    Work-life

    4.5

    Employees rate it well for

    Work Culture11Work Life Balance7Salary4

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