Hunyuan Multimodal Algorithm Researcher (Omni-Modal)
US-California-Palo Alto, United States
USD 158K-297K Senior-level Full Time
Tasks
- Analyze R&D challenges and identify performance bottlenecks
- Conduct research on Omni multimodal large models
- Design and build training data for multimodal models
- Develop solutions to accelerate model iteration
- Evaluate model capabilities
- Optimize pretraining SFT and RL algorithms
- Research downstream application scenarios
- Research next generation multimodal model architectures
Perks/Benefits
- 401k plan
- Holiday pay
- Life & disability benefits
- Medical, dental, vision benefits
- Paid sick leave
- Relocation package
- Restricted stock units
- Sign-on payment
- Vacation days
Skills/Tech-stack
Autoregressive models | CPU GPU | CPU/GPU acceleration | Deep learning | Diffusion Models | Distributed Training | Distributed inference | Fine Tuning | GPU Acceleration | Inference Optimization | Machine Learning | Model Evaluation | Model Tuning | Multimodal Learning | Pretraining | Reinforcement Learning | Supervised Fine Tuning | Training Optimization | Training data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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