Rishabh Jain

Machine Learning Engineer - 3 at PAYPAL

Handle

@rj1997

Role

Machine Learning Engineer - 3

Company

PAYPAL

Location

Bangalore

About

I design and productionize machine learning systems for fraud detection, risk pipelines, recommendations, and ranking. I build representation learning, embedding, and deep learning solutions that improve model performance and production reliability.

Experience

• Machine Learning Engineer - 3 at PAYPAL
  Sep 2024 to now - Bengaluru, KA
  Designed and productionized a self-supervised Transformer encoding event types, metadata, and irregular time across 12M+ user accounts, generating embeddings for 10+ real-time risk pipelines. Designed money-laundering detection and multi-intent financial assistant systems.
• Machine Learning Research Engineer at SKIT.AI
  Nov 2023 to Sep 2024 - Bengaluru, KA
  Designed a borrower representation and decisioning system that learns dense embeddings from demographic, behavioral, payment, and LLM derived conversation features. Improved collection-by-cost ratio by 3%, with no negative impact on borrower feedback.
• Machine Learning Engineer - 2 at SHARECHAT
  Apr 2022 to Sep 2023 - Bengaluru, KA
  Led feature advancement for Deep Cross Network and Wide & Deep rankers serving 100M+ users, improving retention by 2.2% cumulatively. Optimized cloud costs, saving $500K/year, and set up Grafana-based alerting for data drift and feature-pipeline failures.
• Data Science Engineer at SHARECHAT
  Aug 2020 to Mar 2022 - Bengaluru, KA
  Built a Field-Aware Factorization Machine based candidate generator powering content recommendations for 100M+ users, improving Recall@k by up to 4%. Developed a non-personalized search ranking layer to boost long-tail content visibility and improve internal FATE metrics.

Education

• INDIAN INSTITUTE OF INFORMATION TECHNOLOGY
  B.Tech. + M.Tech., Information Technology
  2015 to 2020
  Integrated Post Graduate. CGPA: 8.50/10. Gwalior, MP

Skills

• Machine Learning Systems
• Deep Learning
• Recommender Systems
• Large Language Models
• Productionize ML Research
• Python
• PyTorch
• Keras
• Airflow
• Kubernetes
• BigQuery
• Google Cloud Platform

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