Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Engaged Employer

Poshmark

Compare

4.5

based on 25 Reviews

8 Poshmark Jobs

Senior Machine Learning Engineer

Poshmark

4.5

based on 25 Reviews

4-5 years

Chennai

1 vacancy

Senior Machine Learning Engineer

Poshmark

posted 26d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Computer Science Python SQL Machine Learning CCTV Monitoring

+ 3 more

Job Description

The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitisation to name a few)

Responsibilities

Manage the entire ML lifecycle from data collection to deployment and monitoring
Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models
Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale
Manage and support current solutions while evolving them to incorporate newer technologies
Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner
Stay updated with the latest developments in data science and machine learning

Desired Skills & Experience

4+ years of experience applying Machine Learning to concrete problems at large scale
Bachelors or Masters in Computer Science, Statistics, or related field
Strong CS fundamentals. Should be able to write algorithms with ease.
Solid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
Should have excellent understanding of ML lifecycle
Good understanding of system architecture. Have knowledge of big data technologies - streaming architecture, data pipelines, etc.
Experience with Python, SQL, Java or Scala
Good to have:
- Big data systems - Spark, EMR, S3, AirFlow
- Production experience with LLMs and prompt engineering
- Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs