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Google

Software Engineer ll, Account Threats Detection, Google Core

Google

Published 16 May 2026
Zurich, Switzerland
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
C++
Java
JavaScript
Kotlin

Key skills

AI
Deep Learning
NLP
Feature Engineering
Information Retrieval
Machine Learning
Computer Science
Distributed Systems
Data Structures
System Design
Trust & Safety
Full Stack
Infrastructure
Search
Storage
Security
UI
Deployment
Operations

Tools, Libraries and Frameworks

Tensorflow

Description

The role involves building, optimizing, and operating an ecosystem for machine learning models focused on account activity. The engineer will implement robust pipelines to facilitate experimentation, feature engineering, training, validation, and deployment of threat detection systems. Responsibilities include establishing model metrics and benchmarks to improve explainability and analyzing model drift to ensure ongoing accuracy. The position requires close collaboration with internal partners to integrate these models into daily threat-fighting operations.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least one year of experience in software development using languages such as Python, C, C++, Java, or JavaScript. Additionally, applicants must have one year of experience implementing core machine learning concepts. Proficiency in English is required for all roles.

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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