Robot learning-Generative AI 算法工程师
Tasks
- Apply for patents
- Build and optimize transformer-based models
- Build generative models for future prediction
- Collaborate with simulation perception control data teams
- Convert research into robot intelligent systems
- Design and implement robot foundation models
- Design and implement world models
- Develop multi modal learning for robotics
- Generate large scale training data using high fidelity simulation
- Integrate VAE based modeling
- Integrate flow based modeling
- Predict object trajectories and future states
- Publish research at top conferences
- Train and optimize diffusion models
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Diffusion Models | Embodied AI | Flow-based models | Foundation Models | Future Prediction | Generative AI | High-fidelity simulation | Isaac Sim | Language Processing | Mujoco | Multi-Modal | Multi-Modal Learning | NVIDIA Warp | Natural Language | Natural Language Processing | Robotics | Taichi | Transformers | Variational Autoencoders | World Models
Education
Regions
Countries
States
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