World Labs
Building the future of Spatial Intelligence
World Labs is a frontier model company. We're focused on accelerating our mission to advance spatial intelligence by building world models that revolutionize storytelling, creativity, robotics, scientific discovery, and beyond.
Our first product, Marble, enables anyone to create spatially cohesive, high-fidelity, and persistent 3D worlds from images, video, or text.
Excited about our vision? Come join us.
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Research Engineer / Scientist (SLAM)
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About World Labs:
We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating.
We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.
We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.
Role Overview
We’re looking for a SLAM Specialist to design, implement, and advance state-of-the-art simultaneous localization and mapping systems that enable accurate, robust spatial understanding from real-world sensor data. This role is focused on modern SLAM techniques—both classical and learning-based—with an emphasis on scalable state estimation, sensor fusion, and long-term mapping in complex, dynamic environments.
This is a hands-on, research-driven role for someone who enjoys working at the intersection of robotics, computer vision, and probabilistic inference. You’ll collaborate closely with research scientists, ML engineers, and systems teams to translate cutting-edge SLAM ideas into production-ready capabilities that form the backbone of our world modeling stack.
What You Will Do:
- Design and implement modern SLAM systems for real-world environments, including visual, visual-inertial, lidar, or multi-sensor configurations.
- Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure, and global optimization.
- Research and prototype learning-based or hybrid SLAM approaches that combine classical geometry with modern machine learning methods.
- Build and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing techniques.
- Develop sensor fusion strategies that integrate cameras, IMUs, depth sensors, lidar, or other modalities to improve robustness and accuracy.
- Analyze failure modes in real-world SLAM deployments (e.g., perceptual aliasing, dynamic scenes, drift) and design principled solutions.
- Create evaluation frameworks, benchmarks, and metrics to measure SLAM accuracy, robustness, and performance across large datasets.
- Optimize performance across the stack, including real-time constraints, memory usage, and compute efficiency, for large-scale and production systems.
- Collaborate with reconstruction, simulation, and infrastructure teams to ensure SLAM outputs integrate cleanly with downstream world modeling and rendering pipelines.
- Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping define best practices for localization and mapping across the organization.
Key Qualifications:
- 6+ years of experience working on SLAM, state estimation, robotics perception, or related areas.
- Strong foundation in probabilistic estimation, optimization, and geometric vision (e.g., bundle adjustment, factor graphs, Kalman filtering).
- Deep experience with one or more SLAM paradigms (visual, visual-inertial, lidar, multi-sensor, or hybrid systems).
- Proficiency in Python and/or C++, with hands-on experience building research or production-grade SLAM systems.
- Experience with numerical optimization libraries and/or robotics frameworks.
- Familiarity with learning-based perception or representation learning and how it can augment classical SLAM pipelines.
- Strong understanding of real-world sensor characteristics, calibration, synchronization, and noise modeling.
- Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.
- A strong sense of ownership and engineering rigor: you care deeply about correctness, stability, and measurable improvements.
- Enjoy collaborating with a small, high-caliber team and raising the technical bar through thoughtful design, experimentation, and code quality.
Who You Are:
- Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
- Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
- Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
- Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.
We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.
Join us, and let's make history together.
Equal Opportunity & Pay Transparency
Equal Employment Opportunity
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
In accordance with California law, we disclose the following:
|
Pay Range |
$250,000-$350,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications) |
|
Total Compensation |
Base salary plus equity awards and annual performance bonus |
|
Salary History |
We do not request or consider prior compensation in making offers |
|
Compliance: Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA) |
Ready to apply?
Apply to World Labs
Research Engineer / Scientist (3D Tech Lead)
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About World Labs:
We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating.
We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.
We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.
Role Overview
We’re looking for a Tech Lead for 3D Modeling & Reconstruction to set technical direction and drive execution for our core 3D modeling efforts. This role is ideal for someone with a strong research science (RS) or research engineering (RE) background who has made meaningful contributions to the field of 3D reconstruction and/or modeling—through academic publications, widely used open-source projects, or production systems deployed at scale.
This is a hands-on leadership role. You’ll combine deep technical expertise with the ability to guide a high-impact team, shaping both the research roadmap and the production systems that bring modern 3D modeling methods into real-world products. You’ll work closely with research, engineering, and product partners to translate cutting-edge ideas into reliable, scalable capabilities.
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.
- Comfort operating in fast-moving, ambiguous environments, making high-leverage technical decisions with incomplete information.
- High ownership mindset and a product-aware perspective: you care not just about novelty, but about reliability, performance, and impact.
- Enjoy collaborating with senior peers across research and engineering, and raising the technical bar through example, mentorship, and clear technical communication.
Who You Are:
- Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
- Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
- Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
- Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.
We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.
Join us, and let's make history together.
Equal Opportunity & Pay Transparency
Equal Employment Opportunity
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
In accordance with California law, we disclose the following:
|
Pay Range |
$250,000 - $350,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications) |
|
Total Compensation |
Base salary plus equity awards and annual performance bonus |
|
Salary History |
We do not request or consider prior compensation in making offers |
|
Compliance: Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA) |
Ready to apply?
Apply to World Labs
Research Engineer / Scientist (3D Reconstruction)
Share this job
About World Labs:
We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating.
We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.
We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.
Role Overview
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. 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. 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.
What You Will Do:
- Design and implement modern 3D reconstruction systems, including feed-forward and optimization-based approaches for geometry, appearance, and scene understanding.
- Research, prototype, and productionize advanced 3D representations (e.g., implicit functions, point-based or volumetric methods, hybrid representations) with a focus on accuracy, efficiency, and scalability.
- 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.
- Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping set best practices for 3D reconstruction across the organization.
Key Qualifications:
- 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.
- 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.
- Experience with deep learning frameworks (e.g., PyTorch) and numerical optimization tools.
- Familiarity with rendering, differentiable rendering, or graphics pipelines, and how they interact with reconstruction systems.
- Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.
- A strong sense of ownership and scientific rigor: you care deeply about correctness, reproducibility, and measurable improvements.
- Enjoy collaborating with a small, high-caliber team and raising the technical bar through thoughtful design, experimentation, and code quality.
Who You Are:
- Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
- Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
- Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
- Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.
We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.
Join us, and let's make history together.
Equal Opportunity & Pay Transparency
Equal Employment Opportunity
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
In accordance with California law, we disclose the following:
|
Pay Range |
$250,000-$350,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications) |
|
Total Compensation |
Base salary plus equity awards and annual performance bonus |
|
Salary History |
We do not request or consider prior compensation in making offers |
|
Compliance: Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA) |
Ready to apply?
Apply to World Labs
Pipeline Engineer (3D Data)
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About World Labs:
We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating.
We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.
We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.
Role Overview
We’re looking for a 3D Data Pipeline Engineer to design, build, and operate the core systems that enable high-quality 3D data processing, synthetic data generation, and rendering across our products. This is a hands-on role for someone who is passionate about large-scale 3D data, system performance, and delivering reliable data pipelines to power our product features.
You’ll work closely with product engineers, 3D artists, and research scientists to design efficient, robust, and scalable data pipeline capabilities—while keeping data integrity and performance high in a fast-moving startup environment.
What You Will Do:
- Design, build, and operate automated pipelines for 3D data ingestion, cleaning, processing, validation, and delivery that sit on the critical path for model training.
- Own foundational capabilities for synthetic data generation, including developing tools, workflows, and quality metrics to produce high-fidelity training data at scale.
- Develop and optimize high-performance rendering systems and services for real-time visualization and asset generation.
- Architect and operate distributed data systems for handling massive volumes of 3D models, textures, and associated metadata, ensuring data consistency and robust failure recovery.
- Own data quality and production readiness end-to-end: defining data schemas, implementing quality checks, capacity planning, observability, and continuous improvement for the 3D pipeline.
- Improve developer and researcher velocity by building shared abstractions, tooling, and guardrails that reduce the operational and cognitive load of working with 3D assets.
- Collaborate with cross-functional teams to integrate the 3D data pipeline with other core product platforms and services.
- Set technical direction, mentor engineers, and raise the data engineering bar across the product org with a focus on 3D data.
Key Qualifications:
- 6+ years of experience building and operating large-scale data pipelines, especially with a focus on 3D, graphics, or simulation data, with deep experience designing scalable, distributed services in production.
- Strong programming skills in Python and/or C++, and a solid foundation in data engineering principles and distributed systems architecture.
- Hands-on experience with 3D data processing libraries, game engines (e.g., Unity, Unreal), or rendering APIs (e.g., OpenGL, Vulkan).
- Experience with cloud-based data storage and processing solutions (e.g., Kubernetes, distributed file systems, data warehouses).
- Experience working in fast-moving or startup environments, ideally having led systems or products from early design through production and growth.
- A high bar for ownership and execution: you’re comfortable with ambiguity, take responsibility for outcomes, and drive work forward without waiting for perfect clarity.
- A product-first mindset: you care about data quality, pipeline reliability, and performance as core product features, not afterthoughts.
- Enjoy collaborating with a small, high-ownership team and raising the quality bar through code, data design, and example.
Who You Are:
- Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
- Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
- Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
- Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.
We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.
Join us, and let's make history together.
Equal Opportunity & Pay Transparency
Equal Employment Opportunity
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
In accordance with California law, we disclose the following:
|
Pay Range |
$250k-$350k base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications) |
|
Total Compensation |
Base salary plus equity awards and annual performance bonus |
|
Salary History |
We do not request or consider prior compensation in making offers |
|
Compliance: Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA) |
Ready to apply?
Apply to World Labs