About this role
Conduct research on reinforcement learning algorithms for multimodal models and design RL infrastructure for efficient training. Explore next-generation RL paradigms that learn effectively from environment feedback.
Candidates must be PhD students in Computer Science or related fields with strong research capabilities and publications in top-tier conferences. Hands-on programming skills and experience with multimodal models are highly preferred.
What they're looking for
Reinforcement LearningMultimodal ModelsDiffusion ModelsAutoregressive ModelsDeep LearningModel TrainingInference OptimizationCPU/GPU Acceleration
Frequently asked questions
What does a Hunyuan Multimodal Reinforcement Learning (RL) Research Intern at Tencent do?
Conduct research on reinforcement learning algorithms for multimodal models and design RL infrastructure for efficient training. Explore next-generation RL paradigms that learn effectively from environment feedback. Candidates must be PhD students in Computer Science or related fields with strong re…
What skills does this Hunyuan Multimodal Reinforcement Learning (RL) Research Intern role need?
Key skills for this role include Reinforcement Learning, Multimodal Models, Diffusion Models, Autoregressive Models, Deep Learning, Model Training.
How much does a Hunyuan Multimodal Reinforcement Learning (RL) Research Intern at Tencent pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Hunyuan Multimodal Reinforcement Learning (RL) Research Intern role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Hunyuan Multimodal Reinforcement Learning (RL) Research Intern role?
You can apply directly on Tencent's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.