Robot learning-Manipulation AI Senior算法工程师
Tasks
- Build benchmarks for cross task cross object and cross robot evaluation
- Collaborate with simulation perception hardware and data teams
- Construct large scale manipulation datasets and training pipelines
- Design algorithms to learn adapt and compose new actions
- Design universal manipulation foundation model algorithms
- Develop foundation model methods for skill learning
- Implement generalization for diverse objects tasks and robot embodiments
- Integrate generative models reinforcement learning and imitation learning
- Research multimodal fusion for vision language action and objects
- Translate research results into papers and open source and industry deployment
- Unify demonstration simulation and natural language instructions
- Validate algorithms in high fidelity simulation and real robot systems
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Diffusion Models | Distributed Training | GPU Computing | Generative Models | Imitation Learning | Language Processing | Learning algorithms | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Reinforcement Learning | Reinforcement learning algorithms | Robotics | Transformers | Variational Autoencoders
Education
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