In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.
The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed.
By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
The ideal candidate will possess deep expertise in machine learning, computer vision, and sensor technologies, with a strong background in object detection, semantic segmentation, and sensor fusion. Develop and optimize pipelines for offline auto-labeling and real-time perception tasks to support dataset generation and model training
Design and implement manipulation policies using imitation learning, diffusion policies, and other ML techniques
Experience in building pipelines for offline auto-labeling and real-time processing
imitation learning, diffusion policies)
Strong software engineering skills for real-world deployment, particularly on model optimisation for embedded systems
Familiarity with the latest machine learning and robotics research
High competitive salary.
- Flexible working hours.
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