Senior Research Scientist (Multimodal Large Language Model) - PICO
San Jose, California, United States
USD 212K-450K Senior-level Full Time
Tasks
- Build evaluation systems for MLLM
- Collaborate with cross functional teams to deliver user experience features
- Create error correction mechanisms
- Deploy research innovations in MR products
- Develop tool selection strategy
- Enable single turn and multi turn tool calls
- Implement context memory management for long horizon tasks
- Integrate vision point clouds and text for MR
- Lead research and development of multimodal large language models for MR
- Optimize model architecture for multimodal alignment
- Research and implement tool use capabilities in MR
- Train and accelerate end to end model inference
Perks/Benefits
- N/A
Skills/Tech-stack
3D Scene | 3D Scene Reconstruction | 3DGS | AIGC | Architecture Optimization | Context Memory | Cross-modal alignment | Deep learning | Depth Estimation | End to End | End-to-end training | Error correction | Evaluation systems | Inference acceleration | Language Models | Language Processing | Large Language Models | Lighting Estimation | Machine Learning | Modal Alignment | Model Architecture | Model Architecture Optimization | Multimodal Large Language Models | Natural Language | Natural Language Processing | Nerf | Point clouds | Scene reconstruction | Spatial Computing | Tool selection | Tool use | Vision | Visual localization
Education
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