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Google

Software Engineer III, Duplex

Google

Published 14 May 2026
Tel Aviv, Israel
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Java
GO
Python

Key skills

AI
Data Analysis
NLP
Information Retrieval
Machine Learning
Computer Science
System Design
Full Stack
Infrastructure
Search
Storage
Security
UI
DataSets
Research
Backend

Tools, Libraries and Frameworks

Description

The role involves creating datasets and evaluating the quality of artificial intelligence models. The engineer will work within an end-to-end product engineering team to develop phone conversation bots and internal bot systems. Collaboration with various engineering teams across Geo, Search, and Research is required to advance Duplex capabilities. Additionally, the position entails building Python backends to support communication across the entire Geo ecosystem. The engineer is expected to solve complex problems, display leadership, and mentor junior team members.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. A minimum of two years of programming experience in C++, Java, Go, or Python is required, or one year of experience with an advanced degree. Applicants must demonstrate experience with data analysis and generating insights to influence decision-making. The role also requires the ability to mentor junior team members and apply expertise within relevant technical areas.

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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