About the role#
Tencent is hiring a Hunyuan Multimodal Algorithm Researcher Intern to join the Technology Engineering Group in Palo Alto. This is a full-time, paid internship focused on the research and development of Omni multimodal large models.
What you'll do#
- Design and build training data for large models.
- Develop foundational model algorithms and optimize pre-training, SFT, and RL processes.
- Analyze R&D challenges to identify performance bottlenecks and create solutions based on first principles.
- Explore new paradigms for Omni-modal understanding and generation.
- Research next-generation model architectures to expand the capabilities of multimodal systems.
What you'll need#
- Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or Computer Engineering. Graduate degrees are prioritized.
- Hands-on experience with large-scale multimodal data processing and high-quality data generation.
- A solid foundation in deep learning algorithms and practical experience with large model development.
- Proficiency in deep learning network implementation, model tuning, CPU/GPU acceleration, and distributed training or inference optimization.
- Participation in ACM or NOI competitions is highly valued.
Location & details#
- Location: Palo Alto, California.
- Modality: On-site.
- Term: Rolling.
- Compensation: $28.27 to $60.00 per hour.
- Benefits: Eligible for paid sick leave, up to 13 paid holidays, and enrollment in the company-sponsored medical plan for full-time interns.
About Tencent
Tencent is a technology company founded in 1998 and based in Shenzhen, China. It operates across several sectors including online gaming, social networking, and digital content. The company provides cloud computing, advertising, and financial services to enterprise clients. It currently employs over 89,000 people and maintains a presence in multiple international markets.
How to get in at Tencent
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