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AI Researcher for Food Manipulation

3 weeks ago


San Francisco, California, United States Chef Robotics Full time

At Chef Robotics, we are seeking highly motivated PhD researchers to collaborate with our team in developing cutting-edge AI-based manipulation methods for our fleet of robots.

Chef is looking for talented individuals to work closely with a research mentor and contribute to novel, learning-based approaches to robotic manipulation of food in a manufacturing environment.

This opportunity allows you to apply the latest AI research to a practical application, leaving a lasting impact on Chef and the food industry.

Responsibilities:
  • Design and develop deep learning-based computer vision, motion planning, and/or manipulation algorithms that function across various foods with diverse physical properties (stickiness, density, viscosity, etc.).
  • Create algorithms that learn ingredient properties from past data or in real-time and adapt manipulation parameters accordingly.
  • Integrate new sensor data (e.g. force control, additional cameras) into learning algorithms.
  • Contribute to software infrastructure for training, deploying, and evaluating machine learning models.
Requirements:
  • Pursuing a relevant PhD program focused on embodied AI or robotics.
  • Experience in at least one of the following areas: imitation learning/learning from demonstration, reinforcement learning, or multi-modal learning.
  • Able to independently drive and execute a well-scoped but open-ended research project.
  • Proficiency in common deep learning frameworks like TensorFlow or PyTorch.
  • Excellent programming skills.
  • Strong mathematical and statistical foundation in machine learning concepts.

Estimated Salary: $90,000 per year