Senior Machine Learning Researcher

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Compound Eye

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🤖 Artificial Intelligence

🎖️ Defense

🚘 Automotive

💰 $12.8M Venture Round - Compound Eye on 2025-05

Artificial Intelligence • Defense • Automotive

Compound Eye is a machine-vision company that combines artificial intelligence with classical computer vision to give machines human-like perception with greater precision. Their VIDAS platform delivers tens of millions of depth measurements per second without LiDAR or radar, provides per-pixel scene understanding (object labels and free space), and supports position tracking when GPS is unreliable. Compound Eye targets applications across defense (including multiple Direct to Phase 2 SBIR awards), heavy equipment teleoperation and autonomy, and automotive programs that need LiDAR-like range and accuracy at lower cost and complexity.

📋 Description

• 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 • Build on our unpublished research and state of the art approaches for geometric computer vision.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.

🎯 Requirements

• M.S. or Ph.D. in Machine Learning, Computer Science, or a related field or equivalent experience demonstrating deep fluency in modern ML methods. • Familiarity with version-controlled experimentation and MLOps tools. • Demonstrated ability to read, interpret, and implement research papers. • Experience independently running and evaluating experiments from dataset preparation through model training and analysis. • Excellent problem-solving skills and the ability to translate research insights into practical, high-impact solutions. • Clear written and verbal communication skills for articulating technical concepts to both research and engineering audiences.

🏖️ Benefits

• Strong Incentive Stock Options (ISO) • Medical, dental, and vision insurance • Annual home office stipend • Employer-paid long-term disability, short-term disability, and life insurance • 401(k) with employer match after 6 months • Flexible PTO and 8 holidays + 2 week winter break • Paid family leave • Quarterly onsites in San Francisco