About this role
OpusClip is seeking an experienced AI Systems Architect to design and build scalable, low-latency AI inference microservices crucial for processing high-volume video data. The role involves collaborating on deploying advanced models, optimizing system performance, and translating cutting-edge research into production features within a fast-paced AI video platform. The position offers a chance to work at the forefront of AI and video understanding in a dynamic startup environment.
Required Skills
- Python
- C++
- Docker
- TensorRT
- LLM
- Microservices
- API Design
- Video Understanding
- System Design
- Performance Optimization
Qualifications
- Bachelor's degree in Computer Science or related field
- 3+ years experience in Machine Learning or AI engineering
About OpusClip
www.opus.proOpusClip is an AI-driven video clipping tool designed to help creators and businesses turn long videos into viral shorts efficiently. Serving over 10 million users, OpusClip enables seamless publishing across multiple social platforms with just one click, effectively enhancing creators' productivity and reach. The platform features advanced AI capabilities, including automatic caption generation and support for various video types, making video editing accessible and fast for everyone. OpusClip's commitment to innovation supports the growing need for engaging video content, ensuring users can maximize their audience impact effortlessly.
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