Tencent Logo

Tencent

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

Reposted 12 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
80K-125K Annually
Internship
In-Office
Palo Alto, CA, USA
80K-125K Annually
Internship
The intern will conduct research on Omni multimodal models, focusing on data design, model performance optimization, and exploring application scenarios.
The summary above was generated by AI
Business UnitWhat the Role EntailsWhat 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 ForWho 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 $80,168.40 to $124,800.00 per year. 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

58 Minutes Ago
In-Office
Palo Alto, CA, USA
28-60 Hourly
Internship
28-60 Hourly
Internship
Gaming • Software • Metaverse
Conduct research on Omni multimodal models, analyze R&D challenges, optimize model capabilities, and explore next-gen architectures.
Top Skills: Autoregressive ModelsDeep LearningDiffusion ModelsMultimodal Models
47 Minutes Ago
Hybrid
Mid level
Mid level
Automotive • eCommerce • Healthtech • Information Technology
The Director of Affiliate Marketing will develop partnerships with lead generation affiliates, oversee campaign management, and drive revenue growth through strategic planning and collaboration with product teams.
Top Skills: Api Based PlatformsExcelLead Generation Platforms
48 Minutes Ago
In-Office
Mountain View, CA, USA
190K-290K Annually
Senior level
190K-290K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.
Top Skills: Delta LakeIcebergOrcParquetPrestoSparkTrino

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