Machine Learning Engineer

Overview

Build and operate machine learning services that power Poshmark's marketplace, including search, personalization, fraud detection, and catalog digitization.

What you'll do

• 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.
• Convey complex concepts clearly and simply through strong written, verbal, and presentation skills.
• Stay updated with the latest developments in data science and machine learning.

What you'll need

• 2+ 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; able to write algorithms with ease.
• Solid understanding of Data Science and ML fundamentals: regression, classification, tree-based approaches, neural networks, and sequence-based models.
• Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Excellent understanding of the ML lifecycle.
• Good understanding of system architecture.
• Knowledge of big data technologies: streaming architecture, data pipelines, etc.
• Experience with Python, SQL, Java, or Scala.

Nice 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.

Details

• Office location: Chennai, Tamil Nadu, India.