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Google

Engineering Manager, Image Search Ranking

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

C++
Python

Key skills

AI
Data Analysis
NLP
Prompt Engineering
Information Retrieval
Machine Learning
Applied ML
Computer Science
UI
System Design
Technical Leadership
LLMs
Search
PhD
Security
Deployment
Research
Infrastructure

Tools, Libraries and Frameworks

Mountain View

Description

The role involves managing a team of software engineers to improve image search ranking and quality. The individual will drive technical strategy for retrieval, scoring, and result diversification. Responsibilities include mentoring team members, guiding their career development, and overseeing project execution. The position requires defining evaluation methods for algorithmic changes and aligning them with strategic product goals. The work focuses on large-scale problems, including personalization and the transition toward an AI-organized search results page.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least 8 years of experience in software development and working with algorithms, along with 2 years of experience in people management or team leadership. Proficiency in C++ or Python and experience with data analysis are mandatory. 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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