Staff Machine Learning Engineer - Recommendation Systems

Glance

Bangalore, India
On-site
Large-scale recommendation models
Personalization models
Rapid experimentation
Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources

Job Summary

  • Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources.
  • Lead rapid experimentation—from hypothesis formulation to offline evaluation and online A/B testing—balancing speed, rigor, and business impact.
  • Partner closely with Product, Engineering, Design, UX, and Business teams to translate product goals into scalable ML solutions.

Matching Summary

Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources.

Skills & Requirements

Must-have

  • large-scale recommendation models
  • personalization models
  • rapid experimentation
  • end-to-end ML pipelines
  • Python programming skills
  • Apache Spark experience
  • cloud platforms (AWS, GCP, Azure)

Nice-to-have

  • identity-constrained environments
  • privacy-aware environments
  • thought leadership
  • high curiosity
  • problem-solving ability

Key Requirements

  • 10+ years of industry experience
  • Bachelor’s or Master’s degree in a quantitative field

Work Rights

Not specified

Tailored Resume

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