Founding Researcher (Robotics)

Noida

Responded to 90% candidates

Name *

Email *

Walk us through a video data pipeline you have built or substantially owned in production *

What was the throughput target? What broke first, and how did you fix it? We want the unglamorous version

Pick a VLA paper published in the last 12 months that you think is underrated. Make the case for it *

We are testing depth of engagement with the literature - not whether you picked the “right” paper

You have a CV model in production that is too slow. Walk us through your profiling and optimisation process from diagnosis to deployment *

Be specific: tools, bottlenecks you have actually encountered, and the trade-offs you made

Describe a time you had to design a data format or annotation schema from scratch for a research partner. What questions did you ask, and what did you get wrong the first time? *

We are looking for technical humility and communication instincts - not perfection

What is the hardest thing about making egocentric video data useful for training embodied AI models? What is your current thinking on how to solve it? *

There is no established playbook here - we want to hear your original view

Describe a time you used an LLM to automate a task that would traditionally require human judgment. How did you validate it was working? Focus on the validation strategy - that’s the hard part *

Focus on the validation strategy — that’s the hard part

What is the most interesting failure you have had in an AI/ML system you built? What did it teach you about the gap between research and production? *