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Google

Staff Software Engineer, AI/ML, YouTube Ads

Google

Published 14 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
Deep Learning
NLP
Reinforcement Learning
Information Retrieval
Machine Learning
Recommender Systems
Computer Science
Integrations
Software Design
Data Structures
System Design
Full Stack
Generative AI
Testing
Architecture
PhD
Optimization
Search
Storage
Security
UI
Inference
Infrastructure

Tools, Libraries and Frameworks

Mountain View
JAX
Tensorflow
AD
ADS

Description

The role involves leading the end-to-end development of machine learning models from initial concept through to production. The engineer will build and scale pipelines for model training and inference while integrating these systems with high-throughput advertising platforms. Responsibilities include applying deep learning and reinforcement learning techniques to optimize creative composition and asset value. The position requires contributing to the architecture of centralized services that unify model-driven insights across various applications. Additionally, the engineer will explore and implement generative models for text, image, and video adaptations to enhance ad performance.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires 8 years of experience in software development, including 5 years in testing and launching products and 3 years in software design and architecture. Proficiency in owning outcomes, decision-making, and influencing stakeholders is necessary. A Master's degree or PhD in a technical field is preferred.

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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