Job description
Target start date: Immediately. Relocation provided.
Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. At 1X, you’ll own critical projects, tackle unsolved research problems, deliver great products to customers, and be rewarded based on merit and achievement.
We are looking for a Research Engineer in Data Infra. In this role, you will design and implement a “data engine" that uploads data collected by the NEO fleet, makes the data easy to train and query on, and redeploy new models back to the fleet.
RESPONSIBILITIES
Design on-robot triggers that determine if and when robot data should be uploaded.
Automate ETL pipelines to make fleet-wide data easily queryable and available to train on.
Automate data movement between a hybrid on-prem research cluster + cloud datacenter.
Build frontend tools for visualizing and automating labeling of web-scale datasets.
Training models that automatically label and organize our datasets.
Job requirements
Getting general-purpose robots to work in the home is just about the hardest problem one can work on. We are looking for people with the courage to tackle unsolved technical challenges with an intense work ethic.
A production-oriented engineering mindset
Strong software engineering skills with experience in building distributed systems
Expertise in Python and experience with distributed computing frameworks
Experience building distributed ETL pipelines in Apache Beam, Spark, or Ray
Nice to have
Have built a petabyte-scale data-engine to handle a fleet of robots.
Experience with the following technologies: Rust, Go, Vector Databases, Ansible, Docker
Familiar with computer vision algorithms
Compensation
At 1X your work and results will be rewarded with a total rewards package consisting of a base salary, stock options and benefits. Base salary range is $130,000 to $250,000. Your actual salary will be based on your knowledge, skills and experience.
Location Policy
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.
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