Research Engineer at Tencent

Singapore, Singapore, Singapore

Tencent Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • PhD (preferably full-time) in Computer Science, Artificial Intelligence, Mathematics, or related fields
  • Solid foundation in computer vision or machine learning algorithms; candidates with publications in top conferences or journals are preferred
  • Proficient in machine learning and deep learning fundamentals, and familiar with mainstream AIGC frameworks, including GAN, VAE, VQGAN, Diffusion models, etc
  • Familiar with generation model extensions such as ControlNet, LoRA, and Text Inversion
  • Familiar with multi-modal models like CLIP, ERNIE-ViL, and other transformer-based cross-modal representation models
  • Hands-on experience in NLP, multi-modal learning, or AI-generated content is a strong plus
  • Strong learning ability, clear logical thinking, excellent communication skills, and a high level of curiosity
  • Good teamwork and interpersonal communication skills
  • Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ

Responsibilities

  • Research and optimize content generation models (text, image, audio, 3D models, etc.) to address challenges such as generation quality, diversity, controllability, and efficiency
  • Aim to improve user experience and production effectiveness, and support the productization of algorithms
  • Conduct algorithm training and optimization in areas such as image generation, multi-modal large models, and few-shot learning
  • Based on in-house products and business needs, improve the performance and experience of AI painting, text generation, and video generation through: Prompt optimization / Generation model R&D / Adapter development / Performance acceleration
  • Resolve algorithm bottlenecks when applying models in real business scenarios
  • Address the industrial deployment of multimodal generative models and actively explore model design and optimization in an R&D context

Skills

Key technologies and capabilities for this role

GANVAEVQGANDiffusion modelsComputer VisionMachine LearningDeep LearningImage GenerationMulti-modal Large ModelsFew-shot LearningPrompt OptimizationAdapter DevelopmentPerformance Acceleration

Questions & Answers

Common questions about this position

What qualifications are required for the Research Engineer position?

A PhD (preferably full-time) in Computer Science, Artificial Intelligence, Mathematics, or related fields is required, along with a solid foundation in computer vision or machine learning algorithms and publications in top conferences or journals preferred.

What technical skills are needed for this role?

Proficiency in machine learning and deep learning fundamentals is required, along with familiarity with mainstream AIGC frameworks like GAN, VAE, VQGAN, Diffusion models, generation model extensions such as ControlNet, LoRA, Text Inversion, and multi-modal models like CLIP and ERNIE-ViL.

What soft skills are important for this position?

Strong learning ability, clear logical thinking, excellent communication skills, high level of curiosity, good teamwork, and interpersonal communication skills are essential, along with fluency in both English and Mandarin.

What is the company culture like at Tencent?

Tencent fosters an inclusive environment as an equal opportunity employer where diverse voices fuel innovation, every employee feels supported and inspired to achieve individual and common goals, and they serve users and the community better.

Is the role remote or does it require office presence?

This information is not specified in the job description.

Tencent

Internet platform for social, gaming, fintech

About Tencent

Tencent is a technology company that focuses on enhancing the daily lives of internet users and assisting businesses in their digital transformation. It operates in various sectors, including social networking, entertainment, fintech, and cloud computing. Tencent's main products include WeChat, a messaging and mobile payment app with over a billion users, and Tencent Games, which produces popular video games like Honor of Kings and PUBG Mobile. The company generates revenue through online advertising, subscription services, in-app purchases, mobile payments, and cloud services. Unlike many competitors, Tencent has a diverse business model that allows it to serve both individual users and enterprises effectively. The goal of Tencent is to enrich user experiences and support businesses in their digital journeys.

Shenzhen, ChinaHeadquarters
1998Year Founded
$31.5MTotal Funding
IPOCompany Stage
Consumer Software, Enterprise Software, Fintech, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Professional Development Budget

Risks

Tencent's addition to the US blacklist may affect its operations and partnerships.
Developing Call of Duty mobile version may lead to competitive tensions with Microsoft.
Investment in blockchain exposes Tencent to volatile regulatory environments.

Differentiation

Tencent's WeChat app integrates messaging, social media, and mobile payments seamlessly.
Tencent Games is a global leader with popular titles like Honor of Kings and PUBG Mobile.
Tencent Cloud offers scalable solutions for businesses, enhancing digital transformation efforts.

Upsides

Tencent's investment in blockchain technology could enhance its fintech and cloud services.
The Hunyuan-Large language model advances Tencent's AI capabilities in social networking and gaming.
Collaboration with DYXnet on AI solutions opens new avenues in digital transformation services.

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