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OnsiteStaff/Principal/Architectai/ml infra

Staff Software Engineer, Content Safety, Productionization

GoogleSingaporePosted 20 May 2026

This role is for a Staff Software Engineer at Google based in Singapore focusing on content safety and ML infrastructure productionization. You will lead technical direction, build scalable safety solutions, and optimize ML pipelines for business-critical and GenAI products. Candidates require 8+ years of software development experience with deep expertise in ML infrastructure, model deployment, and system architecture. The role requires leadership capabilities and experience managing cross-regional collaborations.

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Experience

8+ years

Function

Engineering

Work mode

Onsite, Singapore

Company

Tier 1

What you will work on

This role is for a Staff Software Engineer at Google based in Singapore focusing on content safety and ML infrastructure productionization. You will lead technical direction, build scalable safety solutions, and optimize ML pipelines for business-critical and GenAI products. Candidates require 8+ years of software development experience with deep expertise in ML infrastructure, model deployment, and system architecture. The role requires leadership capabilities and experience managing cross-regional collaborations.

TAL's take

Quality 95/1005/5 clarityTier 1 company

High-impact Staff role at a Tier-1 global company focused on AI content safety infrastructure.

The JD clearly defines the seniority, technical domain, and specific responsibilities regarding content safety and ML productionization.

Salaries at Google

33.6 LPA average

Based on 998 Grapevine salary entries for Google.

View all salaries

Engineering

0 - 2 years | L1

16 LPA average

Range: 2 - 30 LPA

Engineering

2 - 4 years | L4

24 LPA average

Range: 0 - 100 LPA

Engineering

4 - 6 years | L4

28 LPA average

Range: 0 - 90 LPA

Engineering

6 - 8 years | L4

44 LPA average

Range: 10 - 69 LPA

Must haves

  • 8 years of experience in software development
  • 5 years of experience in speech/audio, reinforcement learning or ML field
  • 5 years of experience with ML design and infrastructure
  • 5 years of experience with testing and launching software products
  • 3 years of experience with software design and architecture

Tools and skills

software developmentspeech/audioreinforcement learningml infrastructuremodel deploymentmodel evaluationdata processingdebuggingfine tuningsoftware designarchitecture

Nice to have: data structures, algorithms, content safety, responsible ai, large language models, llms, transformers, slos.

About the company

Google is a FAANG company and a global leader in technology.

Posts mentioning Google