You will support the reliability, scalability, and security of Tencent’s business-critical systems in a cloud-native environment:
System Monitoring & Incident ResponseMonitor production systems using tools like Prometheus/Grafana; identify and troubleshoot outages.
Participate in on-call rotations to resolve real-time incidents (with mentor guidance).
Develop scripts (Python/Shell) to automate deployment, scaling, and recovery tasks.
Assist in CI/CD pipeline optimization using GitLab, Docker, and Kubernetes.
Analyze system performance metrics; propose solutions to enhance reliability and cost efficiency.
Support cloud infrastructure management (Tencent Cloud/AWS/Azure).
Work with cross-functional teams (Dev, Data, Security) to design SLOs/SLIs for critical services.
Document system configurations, runbooks, and post-incident reports.
Currently pursuing an undergraduate or graduate degree in Computer Science, AI, Machine Learning, or a related fields.
Strong foundation in deep learning and machine learning fundamentals.
Programming: Proficient in Python and PyTorch / JAX
Scripting: Python, Shell, or Go
OS: Linux / Unix system administration
Networking: TCP/IP, DNS, HTTP basics
Cloud Platforms: Experience with Tencent Cloud, AWS, or Azure
IaC & Observability: Familiarity with tools such as Terraform, Ansible, ELK, or Prometheus
Containerization: Knowledge of Docker / Kubernetes
Strong analytical and problem-solving mindset, with a passion for infrastructure technologies.
Ability to learn quickly and thrive in a fast-paced environment.
Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, ACL, etc.) .
Experience training large models or working with distributed systems.
Experience with multimodal datasets and evaluation benchmarks.
Require bilingual proficiency as 80% of communications with global and HQ teams are conducted in both English and Mandarin.
At least one of the following areas:
Vision-language models (VLMs)
Large language models (LLMs)
Video understanding and generation
Reinforcement learning or imitation learning
Transformer architectures and scaling laws
Multimodal alignment (contrastive learning, instruction tuning)
Agent training (RLHF/RLAIF, planning, tool use)
Synthetic data generation or simulation environments
Experience with long-context training or memory mechanisms
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
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