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- Build on our unpublished research and state of the art approaches for geometric computer vision.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.
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.
Nice to Have
- 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.
Additional Information
- Quarterly onsites in San Francisco
- This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.
