Compound Eye

Senior Machine Learning Researcher (Remote - US)

United States - Remote · Senior · Contract

Sponsorship not specified$175k-$300kDetected 170 days ago

AlgorithmsMachine LearningDeep LearningComputer VisionMLOpsA/B TestingRoboticsSensorsResearchCommunicationProblem SolvingMentoring

About the role

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs.
Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment.
VIDAS is a fully redundant alternative to LiDAR and radar.

Research, implement, and adapt new algorithms and model architectures from recent ML papers, particularly those relevant to perception, localization, and scene understanding.
Collaborate closely with talented engineers to translate research insights into robust, deployable models.
document and share findings that inform future production work.
Demonstrated ability to read, interpret, and implement research papers.
Conduct exploratory experiments on novel approaches; document and share findings that inform future production work.
You'll run your own experiments, propose hypotheses, and share results that help guide our next generation of ML systems.

Publications in major ML or AI conferences or equivalent contributions to applied ML research.
Active engagement with the ML research community, staying current with conferences, open-source releases, and emerging methods.
401(k) with employer match after 6 months
Quarterly onsites in San Francisco
We already have revenue and our Series A round was led by a tier one VC.
We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so.
We understand that no candidate is perfectly qualified for any job and experience comes in different forms.
We encourage you to apply if you see yourself being successful in this position.

Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
You want to take on world-class problems in computer vision and robotics where you may have unlimited resources during training but challenging constraints at inference.
Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.
Build on our unpublished research and state of the art approaches for geometric computer vision.
Stay current with the latest research in machine learning, deep learning, and AI, ensuring new developments are thoughtfully incorporated into our technology roadmap.

This listing is sourced directly from Compound Eye's careers page and normalized into a canonical job model.