招聘城市：新加坡
…As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research and development of multimodal large model technologies, including cross-modal alignment and multimodal understanding tasks, to build industry-leading multimodal large models.
Continuously track state-of-the-art algorithms in multimodal large models, participate in the design, training, optimization, and evaluation of these models, and promote their application in business scenarios.
Who We Look For
Master’s degree or higher in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related fields.
Solid research background in multimodal understanding (e.g., natural language processing, computer vision, speech understanding/generation), with familiarity in mainstream models and algorithms such as CLIP, LLaVA, VALL-E, etc..
Proficiency in deep…
招聘城市：新加坡
…As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research and development of multimodal large model technologies, including cross-modal alignment and multimodal understanding tasks, to build industry-leading multimodal large models.
Continuously track state-of-the-art algorithms in multimodal large models, participate in the design, training, optimization, and evaluation of these models, and promote their application in business scenarios.
Who We Look For
Master’s degree or higher in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related fields.
Solid research background in multimodal understanding (e.g., natural language processing, computer vision, speech understanding/generation), with familiarity in mainstream models and algorithms such as CLIP, LLaVA, VALL-E, etc..
Proficiency in deep…
招聘城市：帕罗奥多
…D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading-edge performance.
3.Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models.
Who We Look For
1.Bachelor’s degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized.
2.Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred.
3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top-tier conferences or experience in cross-modal (e.g., audio-visual) research is preferred.
4.Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference…
招聘城市：帕罗奥多
…D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading-edge performance.
3.Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models.
Who We Look For
1.Bachelor’s degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized. 2.Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred.
3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top-tier conferences or experience in cross-modal (e.g., audio-visual) research is preferred.
4.Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference…
招聘城市：帕罗奥多
…D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading-edge performance.
3.Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models.
Who We Look For
1.Bachelor’s degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized. 2.Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred.
3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top-tier conferences or experience in cross-modal (e.g., audio-visual) research is preferred.
4.Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference…
招聘城市：帕罗奥多
…SFT/RL, model capability evaluation, and exploration of downstream application scenarios.
2.Scientifically analyze challenges in R&D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading-edge performance.
3.Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models.
Who We Look For
Who We Look For
1.Bachelor’s degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized. 2.Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred.
3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top-tier conferences or experience in cross-modal (e.g., audio…
招聘城市：新加坡
…edge topics such as native multimodal pre-training schemes, long-video interactive understanding, visual reasoning, and multimodal agents.
Innovation & Breakthroughs: Keep pace with state-of-the-art (SOTA) trends in the multimodal large model field. Combine theoretical research with actual business scenarios to explore innovative solutions, achieve technical breakthroughs, and build industry-leading multimodal large language models.
Industry Impact: Produce influential research outcomes and contribute to the advancement of multimodal large model technologies within the industry through high-quality papers or open-source projects.
Who We Look For
Currently pursuing a postgraduate degree (Master’s or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields, familiar with key research achievements and mainstream open-source projects in the field of multimodal large language models. Demonstrated strong academic research capabilities with a track record of results, and practical experience in solving concrete algorithmic problems.
Strong algorithm implementation skills with proficiency…
招聘城市：新加坡
…Identify opportunities for technical enhancement through keen data insights, and continuously optimize recommendation strategies and models to improve core business metrics.
Explore and conduct research on cutting-edge recommendation technologies.Be responsible for the development and performance optimization of overseas advertising recommendation algorithms. You will focus on one of the following specific areas:
Model & Algorithm: Optimize estimation models for precise ranking (pCTR/pCVR/pLTV) and recall(LTR). This includes but is not limited to research in ultra-long sequence modeling, multimodal large models for recommendation, multi-scenario & multi-task learning, and scaling up complex cross networks.
Bidding Mechanism: Optimize algorithmic strategies for cost attainment, volume scaling, and cold start. This includes but is not limited to applying reinforcement learning and generative bidding techniques.
Industry-Specific Algorithms: Optimize models and strategies for key industries such as gaming and e-commerce. This includes but is not limited to exploring AI-powered intelligent…
招聘城市：伦敦
…the true potential of their games.
What the Role Entails
1. Responsible for researching and developing advanced algorithms and technologies related to multimodal understanding, image and video generation, and 3D generation.
2. Design and optimize algorithm models for advertising business applications to improve the accuracy and efficiency of algorithms.
3. Research cutting-edge large model and Generative AI technologies, exploring their potential applications in game development scenarios.
4. Collaborate closely with team members to complete project development, testing, and deployment.
Who We Look For
1. Master's degree or above in Image Processing/Computer Vision/Machine Learning/Artificial Intelligence or related fields.
2. Proficient in computer vision, machine learning, and deep learning algorithms.
3. Proficient in image or video generation algorithms, familiar with generative models such as GAN, Stable Diffusion, ControlNet, LoRA, and DreamFusio.
4. Proficient in 3D vision algorithms or 3D generation-related algorithms, such as monocular motion capture…
招聘城市：新加坡
…and world models.
You will collaborate closely with a team of researchers and engineers to design novel algorithms, build large-scale training pipelines, and publish at top venues (e.g., CVPR, ICCV, NeurIPS, ICLR, ACL).
Responsibilities
- Conduct original research on multimodal foundation models or multimodal agents
- Implement and experiment with large-scale models (training, fine-tuning, evaluation)
- Design new model architectures, objectives, or data pipelines
- Work with large multimodal datasets (image, video, text, UI trajectories, etc.)
- Contribute to papers, technical reports, and open-source projects
- Collaborate with cross-functional teams on research prototypes
Who We Look For
Currently pursuing a PhD or Master’s in Computer Science, AI, Machine Learning, or related fields
Strong background in deep learning and machine learning fundamentals
Solid programming skills in Python and PyTorch/JAX
Experience with at least one of:
- Vision–language models
- Large language models
- Video understanding/generation
- Reinforcement learning or imitation learning…
招聘城市：新加坡
…Entails
Responsibilities:
1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks.
2. Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Requirements:
1. Currently enrolled as a PhD student in Computer Science or a closely related field.
2. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
3. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
4. Prior experience with diffusion models, autoregressive models, and/or text…
招聘城市：新加坡
…Role Entails
Job Description1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks.
2. Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
1. Currently enrolled as a PhD student in Computer Science or a closely related field.
2. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
3. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
4. Prior experience with diffusion models, autoregressive models, and/or text…
招聘城市：新加坡
…source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks
Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
Explore nextgeneration RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Currently enrolled as a PhD student in Computer Science or a closely related field
Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
Strong handson programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
Prior experience with diffusion models, autoregressive models, and/or…
招聘城市：新加坡
…source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks
Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
Explore nextgeneration RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Currently enrolled as a PhD student in Computer Science or a closely related field
Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
Strong handson programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
Prior experience with diffusion models, autoregressive models, and/or…
招聘城市：新加坡
…source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks
Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
Explore nextgeneration RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Currently enrolled as a PhD student in Computer Science or a closely related field
Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
Strong handson programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
Prior experience with diffusion models, autoregressive models, and/or…
招聘城市：新加坡
…source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks
Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
Explore nextgeneration RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Currently enrolled as a PhD student in Computer Science or a closely related field
Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
Strong handson programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
Prior experience with diffusion models, autoregressive models, and/or…
招聘城市：新加坡
…source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks
Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
Explore nextgeneration RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Currently enrolled as a PhD student in Computer Science or a closely related field
Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
Strong handson programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
Prior experience with diffusion models, autoregressive models, and/or…
招聘城市：新加坡
…the Role Entails
1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks.
2. Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
1. Currently enrolled as a PhD student in Computer Science or a closely related field.
2. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
3. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
4. Prior experience with diffusion models, autoregressive models, and/or text…
招聘城市：新加坡
…source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks
Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
Explore nextgeneration RL paradigms that more directly and effectively learn from environment feedback.
Who We Look For
Currently enrolled as a PhD student in Computer Science or a closely related field
Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
Strong handson programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
Prior experience with diffusion models, autoregressive models, and/or…
招聘城市：新加坡
…image generation, multi-modal large models, and few-shot learning.
Based on inhouse products and business needs, improve the performance and experience of AI painting, text generation, and video generation through: Prompt optimization / Generation model R&D / Adapter development / Performance acceleration which also includes resolving algorithm bottlenecks when applying models in real business scenarios.
Address the industrial deployment of multimodal generative models and actively explore model design and optimization in an R&D context
Who We Look For
PhD (preferably fulltime) in Computer Science, Artificial Intelligence, Mathematics, or related fields.
Solid foundation in computer vision or machine learning algorithms; candidates with publications in top conferences or journals are preferred.
Proficient in machine learning and deep learning fundamentals, and familiar with mainstream AIGC frameworks, including GAN, VAE, VQGAN, Diffusion models, etc.
Familiar with generation model extensions such as ControlNet, LoRA, and Text Inversion.
Familiar with multi-modal models like CLIP, ERNIE…
