Machine Learning Infrastructure Specialist
2 days ago
Software Engineer in Machine Learning
We are seeking a highly skilled software engineer to join our machine learning team. The ideal candidate will have a strong background in computer science and experience building scalable systems.
About the Team
Our machine learning team is responsible for developing and optimizing the architecture for our recommendation system. We work closely with cross-functional teams to design and implement solutions that improve user experience.
Responsibilities
- Serving and training infrastructure optimization of machine learning models
- Build and maintain high performance online services for TikTok recommendation system
- Build globalized large-scale recommendation system
- Research, design, and develop computer and network software or specialized utility programs
- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis
- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures
Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with experience building scalable systems.
- Experience at least one or two programming languages in Linux environment such as C/C++/golang;
- Understand GPU hardware architecture, understand GPU software stack (CUDA, cuDNN), and have experience in GPU performance analysis;
- Have experience in deep model inference/training, debugging, tuning, and familiar with model optimization tools such as TVM, MLIR, XLA;
- Familiar with mainstream machine learning frameworks (e.g., Tensorflow, Pytorch, MxNet);
Benefits
TikTok is 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 believe in fostering a culture of creativity, innovation, and collaboration. We offer competitive salaries, comprehensive benefits, and opportunities for professional growth and development.
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