Tencent Logo

Tencent

Hunyuan Multimodal Algorithm Researcher Intern(Omni-Modal)​​

Reposted 20 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
28-60 Hourly
Internship
In-Office
Palo Alto, CA, USA
28-60 Hourly
Internship
Conduct research on Omni multimodal models, analyze R&D challenges, optimize model capabilities, and explore next-gen architectures.
The summary above was generated by AI
Business UnitWhat the Role Entails

1.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.

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

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, CPU/GPU acceleration, and distributed training/inference optimization; practical experience is a plus.

5.Participation in ACM or NOI competitions is highly valued.

6.Strong learning agility, communication skills, teamwork, and curiosity.

Location State(s)

US-California-Palo Alto

The expected base pay range for this position in the location(s) listed above is $28.27 to $60.00 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.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.

HQ

Tencent Palo Alto, California, USA Office

2747 Park Blvd, Palo Alto, CA, United States, 94306

Similar Jobs

5 Days Ago
In-Office
Palo Alto, CA, USA
80K-125K Annually
Internship
80K-125K Annually
Internship
Gaming • Software • Metaverse
The intern will conduct research on Omni multimodal models, focusing on data design, model performance optimization, and exploring application scenarios.
Top Skills: Autoregressive ModelsCpu/Gpu AccelerationDeep LearningDiffusion ModelsDistributed TrainingMultimodal Models
3 Hours Ago
Hybrid
San Francisco, CA, USA
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead client engagements to optimize supply chain planning using Kinaxis and analytics. Manage projects, mentor staff, design inventory and distribution strategies, implement SCM technology, and ensure performance and compliance.
Top Skills: Data AnalyticsKinaxisSupply Chain Management Software
3 Hours Ago
Hybrid
5 Locations
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead strategy engagements for asset and wealth management clients: analyze market trends, develop and implement growth and operational strategies, manage client accounts, lead and mentor teams, conduct competitive research, and drive business transformation while promoting innovation and maintaining professional standards.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account