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Google

Technical Lead Manager, ML and GenAI, Ads Safety

Google

Published 16 May 2026
Mountain View, CA, USA
207K - 300K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

AI
NLP
Information Retrieval
Machine Learning
Applied ML
RAG
Project Management
Data Processing
System Design
Full Stack
LLMs
Generative AI
Search
Embeddings
Storage
Security
UI
Architecture

Tools, Libraries and Frameworks

Mountain View
ADS

Description

The role involves managing a team of engineers focused on architecting and enhancing the rollout of workhorse models. The team works to resolve bottlenecks associated with traditional monolithic models to enable parallel policy head updates. Responsibilities include managing project priorities, deadlines, and deliverables while designing, developing, testing, and deploying software solutions. The position requires overseeing complex machine learning initiatives and coordinating work across various partners. The individual will lead efforts to maintain and enhance software systems to ensure they meet production quality standards.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least 8 years of experience building AI-powered products using technologies such as RAG or long context windows, along with 2 years of experience in people management or team leadership. Applicants must demonstrate expertise in building and architecting production-quality machine learning systems, specifically regarding recommendation systems. Proficiency in English is required for all roles.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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