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Senior Machine Learning Researcher - Remote Opportunity at Compound Eye

Compound EyeUnited States - Remote
Remote Full-time

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Experience Level

Senior

Qualifications

To excel in this position, you should possess:A Master’s or Ph. D. in Machine Learning, Computer Science, or related fields, or equivalent experience demonstrating a deep understanding of modern ML techniques. Proficiency in version-controlled experimentation and familiarity with MLOps tools. A proven track record in researching, implementing, and adapting new algorithms and model architectures from recent ML literature, especially those related to perception, localization, and scene understanding. Strong collaborative skills to work alongside talented engineers in translating research insights into robust, deployable models. An interest in advancing our unpublished research and applying state-of-the-art techniques in geometric computer vision. Commitment to staying updated with the latest advancements in machine learning, ensuring that new developments are thoughtfully integrated into our technology roadmap. Experience conducting exploratory experiments on novel approaches, documenting, and sharing findings that inform future production work. Participation in project planning, reviews, and retrospectives, providing technical expertise and mentorship as needed. A desire to publish original research to contribute to the field.

About the job

At Compound Eye, we empower machines to perceive their environment in 3D and in real-time using only passive sensors such as cameras and IMUs. Our cutting-edge VIDAS™ technology transforms video from automotive-grade cameras into a dense, semantic 3D representation, enabling vehicles and robots to navigate their surroundings effectively. VIDAS serves as a fully redundant alternative to LiDAR and radar, and our solutions cater to diverse sectors including automotive, agriculture, healthcare, and defense, supported by leading investors like Khosla Ventures.

We are seeking a dynamic Senior Machine Learning Researcher who is passionate about experimentation and innovation. If you enjoy delving into new research, assessing the latest architectures, and converting theoretical concepts into practical applications, we want to hear from you. You will tackle challenging issues in computer vision and robotics, where you will have ample resources during training but face constraints during inference.

In this role, you will engage in hands-on experimentation, exploration, and make significant technical contributions. You will conduct your own experiments, formulate hypotheses, and disseminate findings that will guide the development of our next generation of machine learning systems.

About Compound Eye

Compound Eye is at the forefront of transforming how machines perceive the world. Our innovative technologies leverage passive sensors to create detailed 3D representations, enabling superior navigation for various applications across multiple industries. Backed by reputable investors, we are committed to pushing the boundaries of machine learning and computer vision.

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