Hunyuan Multimodal Algorithm Researcher (Omni-Modal) at Tencent

Palo Alto, California, United States

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$149,000 – $279,800Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor’s degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized
Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred
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
Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization; practical experience is a plus
Participation in ACM or NOI competitions is highly valued
Strong learning agility, communication skills, teamwork, and curiosity

Responsibilities

Conduct research and development of Omni multimodal large models, including the design and construction of training data, foundational model algorithm design, optimization related to pre-training/SFT/RL, model capability evaluation, and exploration of downstream application scenarios
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
Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models

Skills

Multimodal Models

Deep Learning

Diffusion Models

Autoregressive Models

Large Model Development

Data Processing

Pre-training

SFT

Model Optimization

Distributed Training

GPU Acceleration

Model Evaluation

Tencent

Internet platform for social, gaming, fintech

About Tencent

Tencent is a technology company that focuses on enhancing the daily lives of internet users and assisting businesses in their digital transformation. It operates in various sectors, including social networking, entertainment, fintech, and cloud computing. Tencent's main products include WeChat, a messaging and mobile payment app with over a billion users, and Tencent Games, which produces popular video games like Honor of Kings and PUBG Mobile. The company generates revenue through online advertising, subscription services, in-app purchases, mobile payments, and cloud services. Unlike many competitors, Tencent has a diverse business model that allows it to serve both individual users and enterprises effectively. The goal of Tencent is to enrich user experiences and support businesses in their digital journeys.

Shenzhen, ChinaHeadquarters

1998Year Founded

$31.5MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, Fintech, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Professional Development Budget

Risks

Tencent's addition to the US blacklist may affect its operations and partnerships.

Developing Call of Duty mobile version may lead to competitive tensions with Microsoft.

Investment in blockchain exposes Tencent to volatile regulatory environments.

Differentiation

Tencent's WeChat app integrates messaging, social media, and mobile payments seamlessly.

Tencent Games is a global leader with popular titles like Honor of Kings and PUBG Mobile.

Tencent Cloud offers scalable solutions for businesses, enhancing digital transformation efforts.

Upsides

Tencent's investment in blockchain technology could enhance its fintech and cloud services.

The Hunyuan-Large language model advances Tencent's AI capabilities in social networking and gaming.

Collaboration with DYXnet on AI solutions opens new avenues in digital transformation services.

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