Data Architect
7 days ago
TikTok PTE. LTD. is the leading destination for short-form mobile video.
Our mission is to inspire creativity and bring joy to our users worldwide.
We are a global company with offices in Los Angeles, Singapore, New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
About Our TeamThe Global Live Service Architecture team at TikTok aims to build real-time interactive architecture that safeguards global live streaming.
We are seeking highly skilled and experienced engineers to join our TikTok Live Architecture team.
TikTok Live is a world-wide leader in live streaming, occupying more than 50% of the market share.
In this role, you have the opportunity to understand the most advanced Large Language Model (LLM) models and design architectures to apply LLM in the world's largest businesses.
Responsibilities:- Model Service Deployment: Responsible for converting large-scale deep learning models into scalable services that meet the diverse needs of TikTok's live streaming business.
- Performance Optimization: Optimize the performance of model inference, including efficient utilization of computing resources, minimizing response time, and maximizing throughput.
- Cross-Team Collaboration: Work closely with algorithm and business teams to facilitate the deployment of models into production and resolve issues that arise in the production environment.
- Technical Innovation: Continuously monitor and explore new technologies and methods in the AI field to drive technological advancement in model services.
- Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
- 3+ years of relevant work experience, with experience in deploying and servicing large-scale machine learning models.
- Proficiency in mainstream deep learning frameworks (such as TensorFlow, PyTorch, DeepSpeed) and their deployment in production environments.
- Familiarity with model inference optimization techniques, such as quantization, distillation, distributed inference, ONNX, ZeRO, etc.
- Familiarity with online service tech stacks, such as RPC, Redis, Kafka, etc.
- Strong programming skills, proficient in Python, C++, or Golang, with a deep understanding of system performance optimization.
- Experience in LLMs deployment and optimization.
We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
Our platform connects people from across the globe, and so does our workplace.
We strive to reflect the diversity of our users in our company culture.
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