Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Google

Research Scientist, Generative AI, DeepMind

Google

Published 16 May 2026
London, UK
Full Time
27500 - 275000 people

Share this job

Role Highlights

Languages used

Key skills

AI
Deep Learning
ML Research
Machine Learning
Diffusion Models
Computer Science
Generative AI
PhD
DataSets

Tools, Libraries and Frameworks

JAX
Tensorflow
PyTorch

Description

The role involves designing and developing novel generative methodologies from the ground up to address complex challenges in media models and scientific discovery. The individual will serve as a bridge between core machine learning research and applied domains. Responsibilities include designing, deploying, and accelerating generative models using techniques such as distillation. The position requires evaluating datasets, training methodologies, and model outputs to improve performance. Additionally, the role involves reporting scientific insights and mentoring peers to enhance the team's technical capabilities.

Required Qualifications and Skills

Candidates must possess a PhD in Computer Science or a related field, or have equivalent practical experience. Required technical expertise includes advanced deep learning with specific experience in foundational or practical contributions to diffusion models. Proficiency in machine learning frameworks such as JAX, TensorFlow, or PyTorch is necessary. Furthermore, applicants must have a documented publication record in machine learning conferences or journals.

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.

Share

Share this job

Related jobs

Vertex AI
Computer Science
Integrations
Test Engineer
Taipei, Taiwan
Full Time
Vertex AI
Computer Science
UX
Product Design
Thailand
Remote
AI
NLP
Information Retrieval
NLU
Zurich, Switzerland
Full Time