Total 8 job vacancies by Wechat International Pte. Ltd.

Roles &Responsibilities

1. Build and operate the AMS overseas sales system.

2. Establish an international sales network and localized management framework.

3. Support domestic clients' global expansion initiatives.

4. Drive scalable growth of AMS international advertising business.

Skills Required
1. Proven track record in building and scaling international sales organizations from the ground up (0-to-1 experience essential).

2. Deep understanding of the global advertising technology landscape; familiarity with AMS or similar ad platform businesses strongly preferred.

3. Extensive experience in cross-border go-to-market strategy and localized sales operations across APAC and/or European markets.

4. Hands-on experience with post-merger integration, particularly in cross-cultural and multi-regional settings.

5. Strong executive presence with the ability to lead front-line teams and drive alignment across HQ and regional stakeholders.

6. Fluency in English and Mandarin to align with China HQ while leading local teams and engaging regional partners.

Roles & Responsibilities

1.    Conduct fundamental research on agentic AI problems, including but not limited to the GUI agents, memory and reasoning, reinforcement learning, AI and environment interaction.

2.    Research on long-term ambitious goals, while laying out intermediate milestones. 

3.    Publish influential research work on top conferences and journals. 

4.    Collaborate on large projects that are strategically prioritized by the lab.

Knowledge & Competencies:
1.     Work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research. 

2.     Hold a Ph.D. /master degree in computer science, statistics, applied mathematics, data science or other related disciplines. 

3.     First-author publications at peer-reviewed AI conferences (e.g. ICLR, ICML).

4.     Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX. 

5.     Knowledge in AI agents.

Roles & Responsibilities

• Own data analysis and strategy optimization for the overseas ad network, leveraging advertiser and industry insights to drive improvements in ROAS, LTV, and scalability;

• Work closely with Data Science and Recommendation teams to analyze multi-source data, identify key drivers, and design scalable 2. strategies (e.g., bidding, budget allocation, cold start), while building reusable methodologies;

• Lead the development of inhouse data diagnostics platform, to enable efficient issue diagnosis and data-driven decision-making;

Preferred Qualifications

• 8+ years of experience in advertising or datarelated roles, with strong analytical skills and solid understanding of ad recommendation systems; gaming/data science background is a plus;

• Fluent in English, able to collaborate with global teams and handle a fast-paced, high-pressure environment;

• Strong cross-functional collaboration skills, with a result-driven mindset and strong ownership;

Roles & Responsibilities

• Responsible for the design, development and testing of WeChat user security processes
• Responsible for the design, development, and testing of WeChat's internal tools and platforms
• Participate in requirements review, solution formulation, and solution review to meet project requirements
• Keep abreast of best coding practices, writing high quality code and be able to deliver & test system functions
• Responsible for identifying and debugging system issues, and continuously improve existing services to enhance system performance and stability
• Responsible for creating and maintaining technical documentation
• A team player with strong communications skills to collaborate with relevant teams on projects

Preferred Qualifications

• 8+ years of work experience in software development. Background in safety, risk control, and audits preferred
• Expertise with full-stack web development on a Node.js framework (Vue.js preferred) with mainstream databases (MySQL/MariaDB, Postgres), caching technology (Redis) and common middleware such as Kafka and MQ
• Development experience in compiled language, backend development using C/C++
• Familiar with commonly used system tools in the Linux environment including troubleshooting problems related to CPU, memory, and network I/O
• Solid programming foundation, follows best practices, and has a sense of responsibility, and passion in computing and state-of-the-art technologies
• Strong logical and critical thinking skills, good communication skills, and ability to understand and convey requirements accurately

Fluency in both English and Mandarin required to collaborate with stakeholders based in HQ and globally

Roles & Responsibilities

1. Responsible for the core technology development in the Post-Training phase of large language models, building and optimizing a high-quality Reward System. Continuously enhance the model's capabilities in complex instruction adherence, logical reasoning, and value alignment through Reward Modeling (RM) and Reinforcement Learning (RL) algorithms.
2. Conduct in-depth research and optimization of post-training algorithms such as RLHF to improve model training stability and final outcomes.
3. Manage and synthesize data in the post-training phase, design an efficient data feedback loop mechanism, utilize techniques like SFT and Self-Instruct to generate high-quality training data, and establish a closed-loop signal modeling system from User Feedback to model iteration.
4. Perform comprehensive evaluation and analysis of post-training models, develop scientific evaluation metrics, and keep up with cutting-edge technology trends, quickly translating the latest research results into business value.

Knowledge & Competencies:

1. Master's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
2. Deep understanding of the Transformer architecture and the principles of large language model training, with substantial research and practical experience in one of the post-training areas such as LLM Alignment, RLHF, or Reward Modeling.
3. Solid foundation in algorithms and engineering implementation capabilities, proficient in Python, and familiar with deep learning frameworks such as PyTorch or TensorFlow.
4. Practical experience in distributed training, familiar with large-scale training and inference frameworks like Megatron-LM, DeepSpeed, and vLLM. Experience in training or tuning models with billions or hundreds of billions of parameters is preferred.
5. Excellent research skills, with a record of high-quality publications (NeurIPS, ICLR, ICML, ACL, EMNLP, etc.) or contributions to high-impact projects in the open-source community (e.g., HuggingFace) preferred.

Strong technical enthusiasm and self-motivation, adept at analyzing and solving complex problems, with good teamwork and communication skills.

Roles & Responsibilities:
1. Cloud-Native System Development: Architect and build high-concurrency advertising data services natively on AWS, utilizing EKS, MSK, and S3 to ensure a scalable and robust overseas infrastructure.

2. Large-Scale Data Engineering: Design and implement real-time and batch processing pipelines using Flink, Spark, and HBase to handle massive ad-log flows and complex data attribution.

3. Performance & Reliability Engineering: Drive system stability through proactive JVM/GC tuning and deep-dive troubleshooting of distributed system bottlenecks (CPU, Memory, I/O).

4. High-Availability Architecture: Implement resilient strategies for data integration and processing to support mission-critical, 24/7 ad-tech operations with high traffic and low latency.

5. Data Compliance & Governance: Develop technical solutions that enforce strict data isolation and regional compliance, ensuring overseas user data security and privacy in a multi-region deployment.

Knowledge & Competencies:
1. Backend Expertise: 5+ years of experience in Java development, with deep knowledge of multithreading, JVM internals, and microservices.
2. Big Data Stack: Proven track record in developing with Flink, Spark, and HBase in production environments.
3. AWS Infrastructure: Hands-on experience with core AWS services, specifically EKS (Kubernetes), MSK (Kafka), and S3.
4. Troubleshooting Skills: Expert at diagnosing and resolving performance issues such as OOM, CPU spikes, and GC tuning.
5. System Design: Strong understanding of high-availability patterns, including circuit breaking, rate limiting, and distributed consistency.

Preferred Qualifications
1. Experience in the AdTech industry (e.g., Attribution, Tracking, or RTB systems).
2. Proficiency in leveraging AI coding tools (e.g., GitHub Copilot, Cursor, ChatGPT) to enhance engineering productivity, optimize code quality, and accelerate complex problem-solving.
3. A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.
4. Strong communication skills to collaborate effectively with cross-border teams while maintaining independent development workflows.

Roles & Responsibilities

1. Research and optimize content generation models (text, image, audio, 3D models, etc.) to address challenges such as generation quality, diversity, controllability, and efficiency. 
2. Aim to improve user experience and production effectiveness, and support the productization of algorithms.
3. Conduct algorithm training and optimization in areas such as image generation, multi-modal large models, and few-shot learning.
4. Based on inhouse 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 which also includes resolving algorithm bottlenecks when applying models in real business scenarios.
5. Address the industrial deployment of multimodal generative models and actively explore model design and optimization in an R&D context

Knowledge & Competencies:

1. PhD (preferably fulltime) in Computer Science, Artificial Intelligence, Mathematics, or related fields.
2. Solid foundation in computer vision or machine learning algorithms; candidates with publications in top conferences or journals are preferred.
3. Proficient in machine learning and deep learning fundamentals, and familiar with mainstream AIGC frameworks, including GAN, VAE, VQGAN, Diffusion models, etc.
4. Familiar with generation model extensions such as ControlNet, LoRA, and Text Inversion.
5. 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.
6. Strong learning ability, clear logical thinking, excellent communication skills, and a high level of curiosity.
7. Good teamwork and interpersonal communication skills.
8. Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ

Roles & Responsibilities

1.Conduct fundamental research on agentic AI problems, including but not limited to the GUI agents, memory and reasoning, reinforcement learning, AI and environment interaction.

2.Research on long-term ambitious goals, while laying out intermediate milestones.

3.Publish influential research work on top conferences and journals.

4.Collaborate on large projects that are strategically prioritized by the lab.

Knowledge & Competencies:

1.Work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
2.Hold a Ph.D. /master degree in computer science, statistics, applied mathematics, data science or other related disciplines.
3.First-author publications at peer-reviewed AI conferences (e.g. ICLR, ICML).
4.Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX.
5.Knowledge in AI agents.

Good to have: 

1.Track record of high impact research (e.g. multiple papers with 100+ citations).
2.Impactful open source projects.
3.Winner of international academic competitions.