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Google

Software Engineer, Recommendations, Rankings, Predictions, Consumer Shopping Commerce

Google

Published 16 May 2026
Mountain View, CA, USA
147K - 211K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Python

Key skills

AI
NLP
Information Retrieval
Machine Learning
Model Optimization
Computer Science
Code Reviews
Data Processing
Data Structures
System Design
Full Stack
Search
Embeddings
Infrastructure
Deployment
Debugging
PhD
Storage
Security
UI
Static
Operations

Tools, Libraries and Frameworks

Mountain View

Description

The role involves building platforms where specialized agents are coordinated to manage commerce intents at scale. The engineer will push artificial intelligence search boundaries to create visual and text experiences for users. Responsibilities include writing product or system development code and collaborating with stakeholders through design and code reviews. The position requires triaging system issues and debugging to ensure service quality. Additionally, the role focuses on pioneering self-optimizing systems that dynamically allocate resources and learn from execution trajectories.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires two years of software development experience in C++ and Python, or one year with an advanced degree. Applicants need one year of experience building and deploying recommendation systems models and working with machine learning infrastructure. Preferred qualifications include a Master's degree or PhD in a technical field, along with experience in data structures, algorithms, and AI algorithms.

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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