Mobile AI Inference Engine Engineer
10 months ago
Department Overview:
The Graphic Image team is primarily responsible for various business scenarios, including BigoLive, Likee, imo, within BIGO, focu..
Department Overview:
The Graphic Image team is primarily responsible for various business scenarios, including BigoLive, Likee, imo, within BIGO, focusing on portrait beautification, video enhancement, special effects gameplay, providing a new audio and video experience for millions of users worldwide that is fast, attractive, and entertaining.
Job Responsibilities:
- Responsible for optimizing and deploying AI models on mobile devices to improve the performance and response speed of AI applications.
- Collaborate with team members, participate in the analysis of requirements, architecture design, and code implementation of the mobile inference engine.
- Stay updated on the latest technological advancements in both the academic and industrial sector
Qualifications:
- Bachelor's degree or above in a computer-related field with a solid foundation in computer theory.
- Solid foundation in data structures and algorithms, proficient in C++ programming with good coding habits and style.
- Familiar with ARM architecture, experience in ARM Neon Intrinsics/Assembly development.
- Familiar with AI model deployment, experience with open-source inference engines is a plus, such as MNN, TNN, TFLITE, etc.
- Understanding of AI acceleration technologies, familiarity with model compression, model quantization, model pruning, TVM, and similar technologies is a plus.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, with practical usage and optimization experience, is advantageous.
- Responsible, capable of independent problem research and resolution, and possesses excellent teamwork and communication skills.
- Prior achievements in relevant competition areas are preferred.
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