Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

(Senior) 3D Model Generation AI Researcher

Tencent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

DATA ENGINEERS (DATA CENTRE FIBE INSTAL)

Compliance Data Analyst

Procurement Data Analyst

Head of Data Engineering

Head of Data Engineering

Responsibilities:

LightSpeed Studios is one of the world’s most innovative and successful game developers. With team across China, United States, Singapore, Canada, United Kingdom, France, Japan, South Korea, New Zealand, and United Arab Emirates. We are expanding to more countries.

Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users. It is the co-developer of worldwide hits
PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version).

Responsibilities:

- Responsible for developing AI systems to generate high-quality 3D models from textual descriptions or image inputs, suitable for game production and other applications.

- Optimize AIGC large models (3D generation) to improve generation quality, speed, diversity, and controllability, and promote industrial deployment and product implementation of 3D generation models.

- Collaborate across teams to seamlessly integrate 3D models into game environments, enhance player experience, and promote the application of AI technology in specific business scenarios.

Requirements:

Requirements:

- in computer vision or computer graphics, with 3 or more years of relevant work experience.

- Outstanding achievements in areas such as 3D mesh model generation, mesh texturing and PBR material generation, automatic skeleton binding, and mesh automatic skinning.

- Experience in using and training AI models such as Diffusion, ViT, DiT, GAN, ControlNet, LoRA, IP-Adapter, Inpainting, super-resolution, etc.

- Experience in constructing 3D datasets (characters, objects, scenes) and various 3D data processing (Mesh, Voxel, NeRF, Triplane, SDF, GaussianSplatting, FlexiCubes, etc.).

- Publications in top computer vision and graphics conferences and journals (such as CVPR, ICCV, ECCV, SIGGRAPH/Asia, NIPS, ICML, PAMI, IJCV, TOG, TVCG, etc.).

- Strong ability to learn, self-drive, clear logical thinking, excellent communication skills, and teamwork abilities.

- Practical experience with 3D modeling software (, Maya, Blender, 3DS Max) or game engines (, Unity, Unreal Engine) is preferred.

- Proficiency in at least one programming language (such as Python, C/C++), mastery of deep learning frameworks, strong coding skills, with preference for ACM regional contest gold medalists or contributors to influential open-source projects.

#LI-RL1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.