We are a next-gen cybernetics start-up backed by top-tier investors (Our seed round led by NEA).
Our work focuses on the intersection of robotics, machine learning, and simulation. We aim to push the boundaries of what intelligent systems are capable of. We’re interested both in cases of autonomous operation, and in cases of human-collaborative operation. Our organization operates at the frontier of human capabilities, working actively to advance them and meaningfully improve the state of robotics and human society at large.
As a ML Pipeline Engineer at Neo Cybernetica, you will own and maintain the core data and benchmarking pipelines of the trainable simulation team. This includes three specific components: 3D reconstruction, imitation learning, and differentiable physics engines.
You will be working as a part of a highly-technical AI team with world-class researchers to build the best research tools possible for the team and allow them to work 10x more efficiently and make an impact on building something groundbreaking.
You are a proactive and thorough engineer with a strong sense of ownership and really take to heart the idea that everyone is going to succeed together or fail together.
You are comfortable working with terabyte-scale data and eager to learn and grow in the AI space.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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