
Artificial Intelligence Expert in Autonomous Cooking
1 week ago
About Us
We are building a new era of cooking robots that leverage Artificial Intelligence and Computer Vision to cook food autonomously.
This role plays a major part in developing our autonomous cooking capabilities.
- Solve real-world perception problems for cooking using deep learning techniques (e.g., regression, segmentation, classification, object detection)
- Train, evaluate, and productionize transformer-based vision models to identify ingredient type/shape/size, track visual changes in color/texture of food as it cooks
- Own the end-to-end pipeline for ML capabilities – idea to dataset collection to prototype development and deployment
Requirements:
- Graduates from IITs/NITs/IISC with 1-3 years of industry experience
- Solid understanding of math and ML fundamentals – not just using pre-trained models or scikit-learn
- Comfortable working in an ambiguous, fast-paced, high-ownership startup environment
- Strong fundamentals in Deep Learning – CNNs, RNNs, transformers, optimization, generalization, etc.
- Experience working with PyTorch to train and debug deep models
Why this Opportunity?
No other organization offers challenges similar to ours. Building completely autonomous cooking robots requires thinking from first principles and building from ground up. We believe that our company is a generational opportunity to alter the trajectory of how food is cooked inside homes today.
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