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Google

Staff Software Engineer, Search Ads ML and Large Language Models

Google

Published 14 May 2026
Pittsburgh, PA, USA
207K - 300K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

AI
NLP
Reinforcement Learning
Information Retrieval
Fine Tuning
Model Optimization
Computer Science
Software Design
Data Processing
Data Structures
System Design
Technical Leadership
Full Stack
LLMs
Search
Machine Learning
Testing
Architecture
Audio
Infrastructure
Deployment
Debugging
PhD
Storage
Security
UI

Tools, Libraries and Frameworks

ADS

Description

The role involves designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. The engineer will provide technical leadership on high-impact projects while managing priorities, deadlines, and deliverables. Responsibilities include facilitating alignment across teams and coaching a distributed group of engineers. The position requires leading the design and implementation of solutions in specialized machine learning areas. Additionally, the engineer will optimize machine learning infrastructure and guide the development of model optimization and data processing strategies.

Required Qualifications and Skills

Candidates must possess a Bachelor’s degree or equivalent practical experience, with a preference for a Master’s degree or PhD in a technical field. The role requires at least 8 years of experience in software development, including 5 years in software product launching and 3 years in software design and architecture. Applicants need 5 years of experience in machine learning design and infrastructure, as well as 5 years of experience in speech, audio, or reinforcement learning. Additionally, the position requires experience in owning outcomes, decision-making, and influencing stakeholders.

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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