16 hours ago
Remote, United StatesMid Level
H1B sponsor
Base Salary
$190k - $240k/yr
Responsibilities
- Provide technical support to open-source users on Slack, Stack Overflow, and Reddit, including robotics engineers working on deployment challenges.
- Write blogs, tutorials, and documentation about robot learning and data infrastructure, including VLAs, world models, and sim-to-real pipelines.
- Produce short social-media videos and long-format technical videos for robotics practitioners.
- Create and deliver online and in-person educational courses covering computer vision and machine learning for robotics applications.
- Code integrations connecting FiftyOne with robotics simulation environments, sensor data formats, perception frameworks, models, and datasets.
- Help organize meetups, hackathons, conferences, and workshops, and speak at robotics and autonomous-systems events.
Requirements
- 3+ years of professional machine learning experience with direct application of computer vision to robotics systems such as perception, navigation, manipulation, or autonomous vehicles.
- MS or PhD in computer science, robotics, or a related field with an emphasis on computer vision.
- Hands-on experience with robotics-specific data types and tools, including multimodal sensor streams such as MCAP and LeRobot and simulators such as Isaac Sim.
- Proficiency with Python and expertise in TensorFlow, PyTorch, and NumPy.
- Strong writing ability and proficiency with a screen recording and editing suite.
- Links to written blogs, articles, or papers, spoken conferences or events, active open-source communities, and GitHub repositories are requested; robotics-focused examples are a bonus.
- Ability to work remotely in a cooperative environment using collaborative development tools such as GitHub and Slack.
Benefits
- Fully remote role for someone located in the United States.
- Equity in the form of options, a variety of benefits, and opportunities for growth in a collaborative environment.
About Voxel51
Voxel51 builds FiftyOne, an open-source and enterprise data platform for computer vision and multimodal AI teams to curate datasets, annotate the right samples, and evaluate models across images and video. The company monetizes through commercial features and support for enterprises. Founded in 2018 and headquartered in Ann Arbor, Michigan, it is privately held and supports integrations across the machine learning lifecycle.