Compound Eye is a company that enables machines to understand their surroundings in 3D using passive sensors. They are seeking a researcher-engineer who thrives on experimentation and will focus on hands-on experimentation to guide the next generation of ML systems.
Responsibilities:
- Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies
- 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
- Build on our unpublished research and state of the art approaches for geometric computer vision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
- Conduct exploratory experiments on novel approaches; document and share findings that inform future production work
- Participate in project planning, reviews, and retrospectives, contributing technical expertise and mentorship where appropriate
- Publish original research