Staff Engineer, Machine Learning
IN Tamil Nadu (Chennai) - Office · Chennai, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
All Departments › Research & Development › Technology › ML & Data Engineering Team — team source
Department: All Departments › Research & Development › Technology › ML & Data Engineering Team
From the employer’s posting
What you’ll work on
Full postingDesign 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
From the employer’s posting
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.
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
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
Tools in this posting
- Redshift
- PyTorch
- TensorFlow
- Python
- Scala
- MongoDB
- Keras
Source — Tool mentions in context
- Scala, Python - MongoDB, Redshift, Druid - Airflow, Jenkins
- 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
About Poshmark
Our mission is to build a world-class big data platform to bring value out of data for us and for our customers.
In the employer’s words · Read in context · Company website ↗
Job description
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.
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chennai, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 23, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.