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.
Collaborate closely with talented engineers to translate research insights into robust, deployable models.

To thrive in this role:

M.S. or Ph.D. in Machine Learning, Computer Science, or a related field or equivalent experience.
Familiarity with version-controlled experimentation and MLOps tools.
Demonstrated ability to read, interpret, and implement research papers.

Compensation & Benefits:

Strong Incentive Stock Options (ISO).
Medical, dental, and vision insurance.
Annual home office stipend.

Compound Eye

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors. They have customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors, with a team of sixteen in the US. Their culture is based on transparency, mutual respect and accountability.

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