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Engineering Lead - Extreme Retrieval

MicrosoftBengaluru, Karnataka, IndiaPosted 21 May 2026

Microsoft Research India is hiring an Engineering Lead to build shared ML platforms and retrieval infrastructure. You will define engineering standards and architecture for RAG and web-scale retrieval models used across Microsoft products. The role bridges the gap between research and production, requiring deep systems expertise and cross-functional leadership. You will report to executive leadership and influence engineering strategy for global-scale retrieval systems.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 1

What you will work on

Microsoft Research India is hiring an Engineering Lead to build shared ML platforms and retrieval infrastructure. You will define engineering standards and architecture for RAG and web-scale retrieval models used across Microsoft products. The role bridges the gap between research and production, requiring deep systems expertise and cross-functional leadership. You will report to executive leadership and influence engineering strategy for global-scale retrieval systems.

TAL's take

Quality 95/1005/5 clarityTier 1 company

Exceptional role at a Tier 1 company (Microsoft Research) working on cutting-edge retrieval infrastructure for consumer-facing AI products.

The JD clearly defines the scope, team context, and expected impact within a specific engineering-research hybrid domain.

Salaries at Microsoft

34.9 LPA average

Based on 1,625 Grapevine salary entries for Microsoft.

View all salaries

Engineering

0 - 2 years | L60

18 LPA average

Range: 4 - 52 LPA

Engineering

2 - 4 years | L60

22 LPA average

Range: 3 - 42 LPA

Engineering

4 - 6 years | L62

28 LPA average

Range: 2 - 50 LPA

Engineering

6 - 8 years | L62

33 LPA average

Range: 11 - 55 LPA

Must haves

  • Bachelor's or Masters in Computer Science, Engineering, or related fields
  • Strong software engineering skills with track record in large shared codebases
  • Significant experience building shared platforms, frameworks, or ML systems
  • Strong communication and cross-team collaboration skills
  • High ownership and ability to drive ambiguous technical problems

Tools and skills

software engineeringmachine learning systemsdistributed systems

Nice to have: retrieval methods, dense retrieval, sparse retrieval, ranking, reranking, benchmarking, performance optimization, gpu workflows.

About the company

Microsoft is a global Tier 1 technology company.

Posts mentioning Microsoft