Backend Engineer, Tiktok Machine Learning Systems
2 weeks ago
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform.
We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes.
Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.
Join us and make impact happen with a career at TikTok.About the team
Our team was established to help realize our company vision, building a global platform for creation and communication.
We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into TikTok and its affiliates' products which are used by hundreds of millions of users around the world.
As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems.
Come and join us, you will get the chance of building large-scale machine learning systems, and working with the best AI system and algorithm researchers and engineers.
Responsibilities:
- Research and develop the serving framework of machine learning system, including key computing development, task scheduling, machine learning system management, etc.
- Optimize the deployment and performance of the different model inference, which include but not limited to CV, NLP, Audio task.
- Closely cooperate with the different algorithm teams in TikTok and its affiliates, analysing business bottleneck and optimize for the best software/hardware performance
Qualifications:
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience
- Master at least one of the following languages in Linux environment: C/C++, Python
- Familiar with at least one stateoftheart machine learning framework (e.g., Tensorflow, Pytorch);
- Strong analytical abilities and problem solving
- Practical experience in performance optimization/tuning of deep learning model training/inference.
- Practical experience in CUDA programming and TensorRT
- Familiar with the algorithm details of different deep learning models
- Familiar with model optimization algorithm like quantization and pruning.
- Familiar with TVM, MLIR, XLA or any other model compilation stack
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.-
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