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Google

Senior Software Engineer, AI/ML, Youtube Ads

Google

Published 16 May 2026
Mountain View, CA, USA
174K - 252K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python

Key skills

AI
NLP
Reinforcement Learning
Information Retrieval
Machine Learning
Computer Science
Code Reviews
Data Processing
Data Structures
System Design
Technical Leadership
Full Stack
Audio
Infrastructure
Deployment
Debugging
PhD
Search
Storage
Security
UI
Operations

Tools, Libraries and Frameworks

Mountain View
ADS

Description

The role involves writing and testing code for product or system development. The engineer will collaborate with peers and stakeholders through design and code reviews to ensure adherence to best practices. Responsibilities include contributing to documentation and educational content while adapting materials based on feedback. The position requires triaging and resolving system issues by analyzing their impact on hardware, networks, or service quality. Additionally, the engineer will design and implement solutions within specialized machine learning areas while leveraging existing infrastructure.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires five years of software development experience and three years of experience in machine learning infrastructure or specialized fields such as speech, audio, or reinforcement learning. Proficiency in Python and its associated libraries is necessary. A Master's degree or PhD, experience with data structures and algorithms, and technical leadership experience are preferred qualifications.

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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