Senior Research Scientist (Multimodal Large Language Model) - PICO
San Jose, California, United States
USD 212K-450K Senior-level Full Time
Tasks
- Apply and deploy innovative MLLM multimodal intelligence research
- Build datasets and construct training data
- Collaborate with cross functional teams to deliver user experience features
- Develop tool selection strategies
- Enable spatial interaction tool calls for single turn and multi turn
- Enhance evaluation systems
- Implement error correction mechanisms
- Integrate vision point clouds text for multimodal understanding
- Lead R and D multimodal large language models for MR
- Manage long horizon multi turn context memory
- Optimize model architecture and cross modal alignment
- Research and implement tool use capabilities for MR
- Solve complex user tasks through tool augmented interaction
- Train and accelerate end to end inference
Perks/Benefits
- N/A
Skills/Tech-stack
3D Gaussian Splatting | 3D Scene | 3D Scene Reconstruction | Architecture Optimization | Context Memory | Cross-modal alignment | Depth Estimation | End to End | End-to-end training | Evaluation metrics | Gaussian Splatting | Inference acceleration | Language Models | Large Language Models | Lighting Estimation | Machine Learning | Modal Alignment | Model Architecture | Model Architecture Optimization | Multimodal Machine Learning | Nerf | Point clouds | Scene reconstruction | Spatial Computing | Text processing | Tool use | Vision | Visual localization
Education
Regions
Countries
States
Cities
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