aimlroles

Staff Engineer, Machine Learning

Poshmark poshmark.com Open · verified Oct 22, 2026
Chennai Full-time Senior Machine Learning Engineering

At a glance

Senior Machine Learning Engineering role at Poshmark. Chennai · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SenioritySenior
LocationChennai
EmploymentFull-time
PostedSep 23, 2026 · 4w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Study large datasets and build models that address business problems
  • Build machine learning applications that can handle high data volumes and scale across systems
  • Work with data science, business and engineering teams to deliver machine learning data products
  • Create practices and tools that make feature delivery reliable
  • Improve system architecture to support growth across every layer

What you bring

  • At least eight years developing software, including five or more years applying machine learning to real problems
  • Strong machine learning knowledge, including algorithms and modeling methods
  • Strong coding and software development skills with big data technologies and machine learning frameworks

Who this fits

This senior engineering role suits someone who can build machine learning systems and work across data science, business and engineering teams. Familiarity with distributed systems and large-scale engineering challenges is a plus. The role is based in Chennai, India.

From the employer

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.