About this role
Based in San Francisco, the Machine Learning Engineer position at watney involves improving robotic fleet models using real-world operational data. This full-time role suits practitioners experienced in training production machine learning code for autonomous robotic systems.
Role Overview
Watney seeks a Machine Learning Engineer to join the team in San Francisco. The professional in this role will transform video data generated by a live fleet of robots into enhanced models. Responsibilities cover multiple tasks including perception, decision-making, and robotic action, progressing from imitation learning toward wider generalization.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Watney builds and deploys autonomous robotic systems aimed at expanding human ambition in the physical world and increasing the speed and capacity of infrastructure buildout, beginning with data centers.
How to Apply
Interested candidates should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
Where is the Machine Learning Engineer position located?
The role is based in San Francisco.
What programming languages and frameworks are required?
The position requires writing production machine learning code using Python and PyTorch.
What type of data does the machine learning team work with?
The team works with large volumes of video data generated by a live fleet of robots operating in the field.
What methodologies are relevant for this control work?
Relevant methodologies include imitation learning, reinforcement learning, or similar methods for control.