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Poshmark

Staff Engineer, Machine Learning

  • Seen live on Poshmark's site yesterday
  • Senior
Pay
Not stated
Location
IN Tamil Nadu (Chennai) - Office
Open for
17+ days
First seen
Oct 18, 2026
Apply on Poshmark's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Poshmark's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Poshmark, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

5+ years of experience
“8+ years of overall software development experience with at least 5+ years of industry experience applying Machine Learning to concrete problems” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the 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.

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