Deep Vision and Model Optimization Intern
1 day ago
About Perceptyne
Perceptyne is a deep-tech robotics startup building AI-powered semi-humanoid robots for automating dexterous and intelligent tasks on industrial shopfloors. These robots can be used in areas like electronics product assembly, Automotive assembly lines, warehouse operations, food preparation, etc. We are building technology that will push the boundary of robotics as we know it today
How is it like to work at Perceptyne?
At our core, we like to build things, we evangelize great ideas, and we are grounded. At Perceptyne, we greatly value these dichotomies:
· Having experience while not losing a first principles approach.
· Having a large vision while not losing attention to detail
· Working on disruptive tech while hitting the market ASAP
Responsibilities
· Optimizing existing Deep learning models for stereo depth estimation, key-point tracking, dense scene tracking, pose- estimation.
· Training models for foundational performance in industrial scenarios.
· Engineering model architecture to accommodate multiple modalities.
· Developing Edge capable inference for the models.
Other Information
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Expected Skills:
PyTorch, Python, Strong knowledge of fundamentals of Transformers, CNNs, RNNs and how they are used within a framework such as PyTorch.
·
Duration:
3-6 Months
·
Type:
Paid
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