About this role
Conduct research on reinforcement learning algorithms for multimodal models, including diffusion and autoregressive frameworks. Design and develop training frameworks and reward modeling strategies to ensure efficient large-scale training and stability.
Requires a Bachelor's degree in Computer Science or a related field with a strong record of publications in top AI conferences. Candidates must possess strong engineering skills in deep learning systems, distributed training, and GPU acceleration.
What they're looking for
Reinforcement LearningMultimodal ModelsDiffusion ModelsAutoregressive ModelsReward ModelingDeep LearningDistributed TrainingGPU Acceleration
Frequently asked questions
What does a Multimodal Reinforcement Learning Algorithm Researcher at Tencent do?
Conduct research on reinforcement learning algorithms for multimodal models, including diffusion and autoregressive frameworks. Design and develop training frameworks and reward modeling strategies to ensure efficient large-scale training and stability. Requires a Bachelor's degree in Computer Scien…
What skills does this Multimodal Reinforcement Learning Algorithm Researcher role need?
Key skills for this role include Reinforcement Learning, Multimodal Models, Diffusion Models, Autoregressive Models, Reward Modeling, Deep Learning.
How much does a Multimodal Reinforcement Learning Algorithm Researcher 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 Multimodal Reinforcement Learning Algorithm Researcher role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Multimodal Reinforcement Learning Algorithm Researcher 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.