World Labs

Research Engineer / Scientist (3D Reconstruction)

San Francisco

Sponsorship not specified$250k-$350kDetected 90 days ago

PythonC++Machine LearningDeep LearningPyTorchData EngineeringComputer VisionA/B TestingSystems EngineeringResearchMentoring

About the role

This role is focused on modern reconstruction techniques-both feed-forward and optimization-based-with an emphasis on novel representations, robust optimization, and scalable training and inference pipelines.
This is a hands-on, research-driven role for someone who enjoys working at the intersection of computer vision, graphics, and machine learning.

Design and implement modern 3D reconstruction systems, including feed-forward and optimization-based approaches for geometry, appearance, and scene understanding.
Develop and improve optimization pipelines for multi-view reconstruction, including camera pose estimation, joint geometry/appearance optimization, and robust loss formulations.
Build end-to-end training and evaluation workflows for 3D reconstruction models, from data preparation and supervision strategies to large-scale experiments and metrics.
Collaborate with data and infrastructure teams to ensure reconstruction methods integrate cleanly with existing 3D data pipelines, rendering systems, and downstream applications.
Analyze failure modes and data quality issues in real-world reconstruction scenarios, and design principled solutions to improve robustness and generalization.
Optimize performance across the stack, including memory usage, training speed, and inference latency, to support large-scale datasets and production constraints.
We're looking for a 3D Reconstruction Specialist to develop and advance state-of-the-art methods for reconstructing high-quality 3D geometry and appearance from real-world data.
You'll collaborate closely with research scientists, ML engineers, and product teams to translate cutting-edge reconstruction ideas into production-ready systems that power core product capabilities.
We're building something bigger than any one person.

Deep experience with 3D representations and their tradeoffs (e.g., implicit fields, point-based methods, meshes, volumes) or with large-scale optimization pipelines for reconstruction.
Proficiency in Python and/or C++, with hands-on experience building research or production systems.
Familiarity with rendering, differentiable rendering, or graphics pipelines, and how they interact with reconstruction systems.
6+ years of experience working on 3D reconstruction, multi-view geometry, or related areas in computer vision, graphics, or machine learning.
Strong foundation in modern 3D reconstruction techniques, including feed-forward neural methods or optimization-based approaches.
Experience with deep learning frameworks (e.g., PyTorch) and numerical optimization tools.
Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.

$250,000-$350,000 base salary (good-faith estimate for San Francisco Bay Area upon hire
Total Compensation
Base salary plus equity awards
Salary History
We do not request or consider prior compensation in making offers
Cal. Lab. Code §1197.5 (Equal Pay Act)

World Labs is an equal opportunity employer.
We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law.
We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.
California Pay Transparency

This listing is sourced directly from World Labs's careers page and normalized into a canonical job model.