National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

(Senior) 3D Model Generation AI Researcher

Tencent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Bioimage Data & Agentic Systems

Machine Learning Researcher

Senior Operational Analyst

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Data Scientist

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

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.