About the role#
This internship focuses on the research and development of Omni multimodal large models. You will work within the Technology Engineering Group to build foundational model algorithms, design training data, and optimize processes across pre-training, SFT, and RL. This role involves exploring next-generation architectures and pushing the limits of current multimodal capabilities.
What you'll do#
- Design and construct training data and evaluate model performance across various scenarios.
- Identify R&D bottlenecks and use first principles to create solutions that accelerate model iteration.
- Research diverse paradigms for multimodal understanding and generation.
What you'll need#
- A Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field. Graduate degrees are prioritized.
- A solid foundation in deep learning algorithms and practical experience with large model development.
- Proficiency in deep learning network implementation, model tuning, and distributed training or inference optimization.
- Experience with Diffusion Models and Autoregressive Models is an advantage.
- Hands-on experience in large-scale multimodal data processing and generation is highly preferred.
- Participation in ACM or NOI competitions is valued.
Location & details#
- Location: Palo Alto, California.
- Modality: On-site.
- This is a full-time, paid internship with a rolling term. Sponsorship is not provided.
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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