Research Engineer / Scientist (3D Tech Lead)

What You Will Do

• Set the technical vision and roadmap for 3D modeling and reconstruction, balancing research exploration with product-driven milestones.
• Lead the design and implementation of state-of-the-art 3D modeling systems, spanning geometry, appearance, and scene-level representations.
• Drive innovation in modern 3D modeling approaches, including learning-based and optimization-based methods, with an eye toward robustness, scalability, and real-world data.
• Guide architectural decisions around 3D representations, training pipelines, and inference systems, ensuring they integrate cleanly with broader 3D data and rendering platforms.
• Lead and mentor a small team of research scientists and/or research engineers: providing technical guidance, setting high standards, and fostering a culture of rigor and ownership.
• Own end-to-end execution of key initiatives, from early research prototypes through production deployment and iteration.
• Collaborate closely with cross-functional partners to align 3D modeling capabilities with product needs, timelines, and quality bars.
• Represent the team and its work internally and externally, including contributing to publications, technical talks, or open-source efforts where appropriate.
• Continuously evaluate emerging research and industry trends in 3D modeling and reconstruction, and translate the most promising ideas into actionable plans.

Key Qualifications

• 8+ years of experience in 3D reconstruction, 3D modeling, computer vision, graphics, or closely related fields.
• A strong track record of impactful contributions to the field, demonstrated through academic publications, influential open-source work, or widely deployed industry products.
• Deep expertise in modern 3D modeling and reconstruction methods, including representation design, optimization strategies, and learning-based approaches.
• Proven experience leading or mentoring a small team, lab, or project group, with responsibility for technical direction and delivery.
• Strong programming skills in Python and/or C++, with experience building both research prototypes and production-quality systems.
• Hands-on experience with machine learning frameworks and large-scale experimentation or training pipelines.
• Solid understanding of how 3D modeling systems interface with data pipelines, rendering, and downstream applications.