Staff Engineer, Machine Learning

Poshmark
Chennai, Tamil Nadu, India

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.

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Questions about this job

How do I apply for the Staff Engineer, Machine Learning job at Poshmark?

Use the apply link on this page: you apply directly with Poshmark on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Poshmark want for this Staff Engineer, Machine Learning role?

The job description asks for Machine Learning, Big Data technologies, Machine Learning frameworks, SparkML, TensorFlow, PyTorch, Keras and Scala. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Poshmark?

Apply to the Poshmark roles that match your experience, and tailor your resume to each job description: for this role that means showing Machine Learning, Big Data technologies, Machine Learning frameworks. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Staff Engineer, Machine Learning job remote or onsite?

This is based in Chennai, Tamil Nadu.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Poshmark, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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