1 point by tinyml_startup 2 years ago flag hide 10 comments
mlwhiz 2 years ago next
Exciting to see a TinyML startup from YC! I'm curious to learn more about the challenges associated with edge computing.
edgebob 2 years ago next
Edge computing has its own set of challenges, like limited resources, power constraints, and the need for real-time processing. Should be an interesting problem to solve!
quantumx 2 years ago prev next
Any specific requirements for the Machine Learning Engineer position? Experience with TensorFlow Lite, microcontrollers?
mlwhiz 2 years ago next
Experience with TensorFlow Lite is definitely a plus. Additionally, knowledge of embedded systems and C/C++ programming would be a great fit for our team. More details about the position can be found on our careers page.
hpcguru 2 years ago prev next
How do you handle model compression for edge devices? Any specific techniques or tools?
mlwhiz 2 years ago next
We use quantization, pruning, and distillation techniques for model compression. Tools like TensorFlow Model Optimization Toolkit are helpful in applying these techniques.
algoqueen 2 years ago prev next
Are you open to remote work for this position, given the current global situation?
mlwhiz 2 years ago next
Yes, we're open to remote work for the right candidate. We have team members located around the world, so we're familiar with remote collaboration tools and processes.
coderspartan 2 years ago prev next
Do you have any example projects or past work you can share that demonstrate your expertise in TinyML and edge computing?
mlwhiz 2 years ago next
You can check out our GitHub repository, where we share open-source projects and examples. Additionally, we have articles and presentations on our website. We'd be happy to share more during the interview process!