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Staff Machine Learning Software Engineer

Company: Poshmark
Location: Redwood City
Posted on: February 16, 2021

Job Description:

Poshmark is a leading social marketplace for new and secondhand style for women, men, kids, 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 fun.

Are you an Engineer who is passionate about using cutting-edge ML algorithms to create and deliver value using data? Poshmark is looking for a Senior ML Engineer who can independently drive innovation across our key AI products. 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 build AI products using Big Data. This person will work on multiple ML initiatives and help solve some of the most challenging problems in social commerce like - Personalizing User Experience, Search Ranking, and many more.

Responsibilities

  • Explore large datasets, research, and develop algorithms/models to solve interesting business problems.
  • Architect, 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 AI products for Poshmark
  • Follow best practices for developing, managing, maintaining, and documenting machine learning models and all related work
  • Work on all stages of a data science / ML project - exploration and conceptualization, POC (proof of concept), data preparation, model development, and testing, deployment, monitoring, and debugging continuous improvement

    6-Month Accomplishments
    • Get familiar with the Poshmark ecosystem i.e data Infrastructure and data tools - Redshift, Spark, Looker, etc.
    • Develop a deeper understanding of Poshmark ML platforms - Existing models for Search & Recommendations, Fraud & Growth
    • Study and understand the limitations of current recommendation models and be able to independently apply ML techniques to build next-gen personalization experience
    • Develop good relationships with team members and internal customers

      12+ Month Accomplishments:
      • Brainstorm and identify opportunities for new model development
      • Productionize new machine learning models
      • Successful collaboration with the data sciences, product, engineering, business teams to develop, deploy and monitor new model(s)

        Desired Skills
        • 4+ years of hands-on experience in building scalable Machine Learning based solutions in a Big Data environment
        • Strong background in Machine Learning with a deep understanding of algorithms and modeling techniques
        • 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 a plus
        • Excellent problem-solving skills coupled with a passion to solve challenging problems using data science/ML with a focus on delivering business value

          Technologies We Use
          • Scala, Python, SQL, SparkSQL
          • MongoDB, Redshift, Druid, Hive
          • Airflow, Jenkins, Kinesis
          • Spark, SparkML, Spark NLP, Light-GBM

            About Us

            Poshmark is a leading social marketplace for new and secondhand style for women, men, kids, 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 fun. Its community of more than 70 million registered users across the U.S. and Canada is driving the future of commerce while promoting more sustainable consumption. For more information, please visit , and for company news and announcements, please visit investors.poshmark.com. You can also find Poshmark on Instagram, Facebook, Twitter, Pinterest, and YouTube.

            Why Poshmark?

            At Poshmark, we're constantly challenging the status quo and are looking for innovative and passionate people to help shape the future of Poshmark. We're disrupting the industry by combining social connections with e-commerce through data-driven solutions and the latest technology to optimize our platform. We're nothing without our amazing team who deliver an unparalleled social shopping experience to the millions of people we connect each day.

            We built Poshmark around four core values: 1) focus on people to create empowered communities that drive success; 2) together we grow to support each other to strive for our dreams; 3) lead with love to foster genuine connections built upon a foundation of respect; and 4) embrace your weirdness to accept and empower one another on their own unique journey. We're invested in our team and community, working together to build an entirely new way to shop. That way, when we win, we all win together. Come help us build the most connected shopping experience ever.

            Here's What We'll Set You Up With
            • A team that is invested in your career growth and training
            • Competitive salary and equity, based on experience
            • Company sponsors up to 100% cost for your health, dental and vision plans and up to 90% for your dependents
            • Work alongside world-class talent
            • Flexible vacation / paid time off policy
            • Parental leave
            • Personal style encouraged (or not, whatever you're in to)

              Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Keywords: Poshmark, Redwood City , Staff Machine Learning Software Engineer, IT / Software / Systems , Redwood City, California

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