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ML Engineer

Meta · Hyderabad · Hybrid

DataSenior level₹38–56 LPA400 employee reward
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About the role

Take ranking and recommendation models from notebook to production.

You'll work on models that decide what billions of people see — feature engineering, training pipelines, offline evaluation, and online experiments.

This is a hands-on modelling role with a heavy infra component: if a model can't be served reliably at low latency, it doesn't ship.

What they're looking for
  • 4+ years in applied ML, with production models you can talk through
  • Fluent in Python and a deep-learning framework (PyTorch preferred)
  • Experience with large-scale training data and distributed training
  • Understanding of A/B testing and how to read an experiment
Employee marketplace

Employees who can refer you (1)

DS
Data Scientist
neha.kapoor@meta.com
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