Description:

Rerun is seeking a Robotics ML Engineer to build and explain AI-first robotics projects and data pipelines.
The role involves creating examples and reference projects that utilize Rerun's open source and commercial data infrastructure for embodied AI use cases.
Responsibilities include developing data pipelines for robotics imitation learning, data cleaning workflows, end-to-end physical robot to learned behavior setups, and simulations for evaluation and data generation.
The engineer will create blogs, tutorials, videos, and other educational materials to assist customers and the community.
Interaction with customers and the community is essential to gather feedback for improving projects and educational content.
The engineer will also contribute to the core Rerun product by implementing improvements based on learnings.

Requirements:

Candidates should possess an ownership mindset and a collaborative attitude.
A curious mind and a helpful demeanor are essential for this role.
A proven track record of engaging projects and effective public communication, such as blogs, YouTube content, or well-documented READMEs, is preferred.
Applicants should have broad knowledge in ML, 3D geometry, robotics, and related fields to build useful projects and communicate effectively.
Experience with MLOps and systems necessary for transferring data from robots to GPUs, including Linux, Ray, file formats, Pytorch dataloaders, and NVIDIA DALI, is required.
Strong Python skills are necessary, along with basic skills in C++ or Rust.

Rerun offers competitive cash and equity compensation.
Employees receive six weeks of paid vacation annually.
The company provides necessary hardware and software to perform job duties effectively.
Rerun operates as a remote company, with in-person meetups approximately once a quarter.
The team is composed of talented individuals who value agency and helpfulness, encouraging broad responsibility for projects.