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Google

Research Scientist, Google Research, AI/ML

Google

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

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Role Highlights

Languages used

Key skills

NLP
Data Mining
Computer Science
LLMs
Research
AI
PhD
Machine Learning
Infrastructure
ProtoTyping
Compilers
Search

Tools, Libraries and Frameworks

IOS
ADS

Description

The role involves setting up large-scale tests and deploying ideas to develop new products, processes, or technologies. Responsibilities include creating experiments, prototyping implementations, and designing new architectures to address real-world problems. The individual will manage deadlines and deliverables while applying current theories to research projects. Additionally, the role requires contributing to the wider research community by sharing and publishing findings. The work involves utilizing Large Language Models for rating tasks, personalized evaluation, and user simulation to model real-world preferences and behaviors.

Required Qualifications and Skills

Candidates must hold a PhD in Computer Science or a related field, or possess equivalent practical experience. Applicants are required to have at least one scientific publication submission for conferences, journals, or public repositories. The role requires two years of coding experience and a proven track record of delivering software engineering systems. Proficiency in English is mandatory for global collaboration.

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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