Multimodal Large Model Algorithm Engineer 106501
Tencent
Multimodal Large Model Algorithm Engineer 106501
Job Description
Multimodal Large Model Algorithm Engineer 106501
š Job Overview
The Multimodal Large Model Algorithm Engineer role at Tencent's Technology Engineering Group involves researching and developing advanced multimodal large model technologies, focusing on cross-modal alignment and understanding to create industry-leading models. The position requires tracking state-of-the-art algorithms, participating in model design, training, optimization, and evaluation, and applying these innovations to business scenarios. This role is based in Singapore and supports Tencent's infrastructure R&D through collaborative efforts.
š Location: CapitaSky, Singapore
š¢ Business Unit: TEG
š Full Description
Business Unit
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. 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
Masterās 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 learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training.
Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python.
Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred.
Excellent learning ability, technical curiosity, and strong teamwork and communication skills.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Singapore-CapitaSky
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. 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
Masterās 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 learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training.
Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python.
Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred.
Excellent learning ability, technical curiosity, and strong teamwork and communication skills.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Singapore-CapitaSky
šÆ Key Responsibilities
- 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
- Promote their application in business scenarios
ā Required Qualifications
- Masterās 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 learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training
- Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python
ā Preferred Qualifications
- Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred
š ļø Required Skills
- Solid research background in multimodal understanding
- Familiarity with mainstream models and algorithms such as CLIP, LLaVA, VALL-E
- Proficiency in deep learning frameworks like TensorFlow or PyTorch
- Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM)
- Practical experience in multi-node/multi-GPU distributed training
- Strong engineering skills
- Proficiency in at least one programming language: C/C++, Java, or Python
- Excellent learning ability
- Technical curiosity
- Strong teamwork and communication skills
š Benefits
- Equal Employment Opportunity: Diverse voices fuel innovation and better serve users and the community
- Supportive environment where every employee feels inspired to achieve individual and common goals
- Work Location: Singapore-CapitaSky
Locations
- CapitaSky, Singapore
Salary
Estimated Salary Rangemedium confidence
120,000 - 180,000 SGD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Solid research background in multimodal understandingintermediate
- Familiarity with mainstream models and algorithms such as CLIP, LLaVA, VALL-Eintermediate
- Proficiency in deep learning frameworks like TensorFlow or PyTorchintermediate
- Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM)intermediate
- Practical experience in multi-node/multi-GPU distributed trainingintermediate
- Strong engineering skillsintermediate
- Proficiency in at least one programming language: C/C++, Java, or Pythonintermediate
- Excellent learning abilityintermediate
- Technical curiosityintermediate
- Strong teamwork and communication skillsintermediate
Required Qualifications
- Masterās degree or higher in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related fields (experience)
- 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. (experience)
- Proficiency in deep learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training (experience)
- Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python (experience)
Preferred Qualifications
- Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred (experience)
Responsibilities
- 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
- Promote their application in business scenarios
Benefits
- general: Equal Employment Opportunity: Diverse voices fuel innovation and better serve users and the community
- general: Supportive environment where every employee feels inspired to achieve individual and common goals
- general: Work Location: Singapore-CapitaSky
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Multimodal Large Model Algorithm Engineer 106501
Tencent
Multimodal Large Model Algorithm Engineer 106501
Job Description
Multimodal Large Model Algorithm Engineer 106501
š Job Overview
The Multimodal Large Model Algorithm Engineer role at Tencent's Technology Engineering Group involves researching and developing advanced multimodal large model technologies, focusing on cross-modal alignment and understanding to create industry-leading models. The position requires tracking state-of-the-art algorithms, participating in model design, training, optimization, and evaluation, and applying these innovations to business scenarios. This role is based in Singapore and supports Tencent's infrastructure R&D through collaborative efforts.
š Location: CapitaSky, Singapore
š¢ Business Unit: TEG
š Full Description
Business Unit
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. 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
Masterās 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 learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training.
Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python.
Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred.
Excellent learning ability, technical curiosity, and strong teamwork and communication skills.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Singapore-CapitaSky
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. 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
Masterās 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 learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training.
Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python.
Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred.
Excellent learning ability, technical curiosity, and strong teamwork and communication skills.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Singapore-CapitaSky
šÆ Key Responsibilities
- 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
- Promote their application in business scenarios
ā Required Qualifications
- Masterās 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 learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training
- Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python
ā Preferred Qualifications
- Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred
š ļø Required Skills
- Solid research background in multimodal understanding
- Familiarity with mainstream models and algorithms such as CLIP, LLaVA, VALL-E
- Proficiency in deep learning frameworks like TensorFlow or PyTorch
- Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM)
- Practical experience in multi-node/multi-GPU distributed training
- Strong engineering skills
- Proficiency in at least one programming language: C/C++, Java, or Python
- Excellent learning ability
- Technical curiosity
- Strong teamwork and communication skills
š Benefits
- Equal Employment Opportunity: Diverse voices fuel innovation and better serve users and the community
- Supportive environment where every employee feels inspired to achieve individual and common goals
- Work Location: Singapore-CapitaSky
Locations
- CapitaSky, Singapore
Salary
Estimated Salary Rangemedium confidence
120,000 - 180,000 SGD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Solid research background in multimodal understandingintermediate
- Familiarity with mainstream models and algorithms such as CLIP, LLaVA, VALL-Eintermediate
- Proficiency in deep learning frameworks like TensorFlow or PyTorchintermediate
- Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM)intermediate
- Practical experience in multi-node/multi-GPU distributed trainingintermediate
- Strong engineering skillsintermediate
- Proficiency in at least one programming language: C/C++, Java, or Pythonintermediate
- Excellent learning abilityintermediate
- Technical curiosityintermediate
- Strong teamwork and communication skillsintermediate
Required Qualifications
- Masterās degree or higher in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related fields (experience)
- 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. (experience)
- Proficiency in deep learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and practical experience in multi-node/multi-GPU distributed training (experience)
- Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python (experience)
Preferred Qualifications
- Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred (experience)
Responsibilities
- 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
- Promote their application in business scenarios
Benefits
- general: Equal Employment Opportunity: Diverse voices fuel innovation and better serve users and the community
- general: Supportive environment where every employee feels inspired to achieve individual and common goals
- general: Work Location: Singapore-CapitaSky
Tags & Categories
Answer 10 quick questions to check your fit for Multimodal Large Model Algorithm Engineer 106501 @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs