As a Research Engineer/Scientist, you will:

• 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.

We're looking for someone with 6+ years of experience working on SLAM, state estimation, robotics perception, or related areas. A strong foundation in probabilistic estimation, optimization, and geometric vision is required, as well as proficiency in Python and/or C++.

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Responsibilities:

• Work as a Sr. Product Engineer to develop and ship products with a user-centric approach.
• Develop and optimize web-based 3D graphics tools and applications.
• Participate in all phases of the software development lifecycle, from design to deployment, including working directly with early testers and design partners to solicit user feedback.

Key Qualifications:

• Strong track record in developing and shipping successful products.
• 6+ years of engineering experience and proven ability to operate effectively in startup environments as an early-stage engineer or founder, demonstrating adaptability and ownership.
• Experience in building user-focused web applications.
• Proficiency in modern web application technologies for frontend (e.g., TypeScript, React, Node.js) and backend services, and a strong understanding of web architecture.
• Experience and strong curiosity in working with AI tools.
• Excellent problem-solving abilities and a strong foundation in computer science principles.
• Strong communication and collaboration skills, with a focus on delivering high-quality, impactful solutions.

Preferred Qualifications:

• Experience in 3D graphics programming and shader development, particularly web frameworks such as WebGL and three.js. Experience building applications around generative image, video, or 3D models is particularly valuable.
• Experience working with generative AI, machine learning, neural rendering, etc.
• Contributions to open-source graphics or machine learning projects.
• Experience building real-time collaborative tools and applications.
• Experience working in VFX, gaming, 3D design, or other industries that focus on high-fidelity visual outputs.

Who You Are:

• Player coach: We are looking for strong product engineers who have played pivotal roles in successful product development and launch cycles.
• 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.

Experience Level: senior Employment Type: full-time Workplace Type: onsite Category: Engineering Industry: Technology Salary Range: $250,000 - $325,000 base salary Required Skills: TypeScript, React, Node.js, web architecture, AI tools, problem-solving, computer science principles, communication, collaboration Preferred Skills: 3D graphics programming, shader development, WebGL, three.js, generative AI, machine learning, neural rendering, open-source graphics, real-time collaborative tools, VFX, gaming, 3D design

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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.

Responsibilities:

• 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.

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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.

Key responsibilities include:

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

-note: This job requires 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.

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While experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision.

You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.

Key responsibilities include designing, implementing, and training large-scale diffusion models for generating 3D worlds, developing and experimenting with large-scale diffusion models to add novel control signals, adapting to target aesthetic preferences, or distilling for efficient inference, collaborating closely with research and product teams to understand and translate product requirements into effective technical roadmaps, contributing hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment, continuously exploring and integrating cutting-edge research in diffusion and generative AI more broadly, acting as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering.

Ideal candidate profile includes 3+ years of experience in generative modeling or applied ML roles, extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models, deep expertise in at least one area of generative modeling, strong history of publications or open-source contributions involving large-scale diffusion models, strong coding proficiency in Python and experience with GPU-accelerated computing, ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes, comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.

Nice to have includes contributions to open-source projects in the fields of computer vision, graphics, or ML, familiarity with large-scale training infrastructure, experience integrating machine learning models into production environments, led or been involved with the development or training of large-scale, state-of-the-art generative models.

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The best generative models aren’t just a product of model architecture and compute, they are a product of the training data. The model output reflects someone’s obsession over what goes into the data, how it’s processed, and what gets thrown away. We’re looking for the person who does the obsessing and builds the tools to act on it at scale.

This isn’t a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and close the loop with model training to make sure it actually works.

Responsibilities:

• Discover, evaluate, and acquire training data
• Build data processing and curation systems
• Look at the actual data constantly
• Close the data → model → evaluation loop
• Deploy ML models for data enrichment
• Make systematic, documented decisions

Requirements:

• Strong software engineering fundamentals
• Deep experience with image and video data at scale
• Experience with distributed computing
• Experience using ML models as components
• A research-oriented approach to data decisions
• Familiarity with the model training lifecycle

Nice to Have:

• Familiarity with columnar and large-scale data storage formats and libraries
• Track record of independently discovering and integrating new data sources into a training pipeline
• Direct experience closing the data → model quality loop
• Strong visual intuition for data quality and diversity

What This Isn’t:

• Not infrastructure
• Not pure research
• Not a role where you wait for instructions

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Location: San Francisco

Department: Front-End & Design

Job Description:

At World Labs, we're building Large World Models,AI systems that understand, reason about, and interact with the physical world. Our work sits at the frontier of spatial intelligence, robotics, and multimodal AI, with the goal of enabling machines to perceive and operate in complex real-world environments.

We're assembling a global team of researchers, engineers, and builders to push beyond today's limitations in artificial intelligence. If you're excited to work on foundational technology that will redefine how machines understand the world,and how people interact with AI,this role is for you.

About World Labs:

World Labs is an AI research and development company focused on creating spatially intelligent systems that can model, reason, and act in the real world. We believe the next generation of AI will not live only in text or pixels, but in three-dimensional, dynamic environments,and we are building the core models to make that possible.

Our team brings together expertise across machine learning, robotics, computer vision, simulation, and systems engineering. We operate with the urgency of a startup and the ambition of a research lab, tackling long-horizon problems that demand creativity, rigor, and resilience.

Role Overview:

We're looking for a passionate artist who lives and breathes the creation of rich immersive 3D worlds. You are an expert in both 3D and 2D design, never satisfied with the tools at hand, and are able to describe how to build better ones.

In this role you'll be using our products everyday to create 3D worlds, working with users, generating feedback and evaluations for researchers, and developing prototypes with the product team.

You'll also collaborate closely with our marketing team to share your work and communicate what our tools enable.

All in all, you're deeply excited and involved in state-of-the-art generative tools and the future of creative technology.

What You Will Do:

• Use your creative skill as a World Builder to develop 3D environments with internal and external tools.
• Create sample projects and marketing materials from the 3D worlds you develop.
• Identify and help develop integrations between our product and external applications (game engines and 3D authoring tools).
• Participate in all phases of product development, from prototyping, working directly with early testers and design partners to solicit feedback.
• Documenting model outputs and creating evaluations for the model research team.

Key Qualifications:

• Strong track record of independently developing beautiful realtime or pre-rendered 3D environments in Blender, Unreal, or Unity.
• Fiercely independent and self-reliant, a problem solver that cares about the process as much as the finished product, and can communicate these needs well.
• Have work experience in video games, VFX, CGI animation or comparable roles with proven ability to operate effectively in a professional studio setting.
• Portfolio that demonstrates understanding of a wide range of experience in 2D and 3D workflows with strong aesthetic consistency.

Preferred Qualifications:

• Understanding of product development, bonus if you have developed creative tools or scripts.
• Experience and strong curiosity of generative AI tools.
• Will go above and beyond being simply a user, willing to jump in and become a technical artist and collaborate on integrations and product features.

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.

Equal Opportunity & Pay Transparency

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: $75/hour rate (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

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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.

Responsibilities:

• 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.

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This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.

Responsibilities:

• Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
• Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
• Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
• Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
• Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy
• Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication
• Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions
• Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably

Key Qualifications:

• 3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains
• Demonstrated ability to build and maintain highly organized recruiting systems and processes
• Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions
• Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams
• Experience sourcing passive, highly competitive candidates
• Excellent written and verbal communication skills
• Ability to operate effectively in fast-moving, ambiguous environments

Preferred Qualifications:

• Experience in one or more of the following is a strong plus:

  • Recruiting or sourcing for research-heavy organizations or frontier AI labs
  • Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)
  • Experience hiring PhD-level researchers or highly specialized engineers
  • Background in startup environments or early-stage team building
  • Experience with advanced sourcing tools, automation, or custom workflows

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.

Equal Opportunity & Pay Transparency

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.

In accordance with California law, we disclose the following:

• Pay Range: $180,000-$225,000 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)
• Accommodations & inquiries: talent@worldlabs.ai

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Your responsibilities will include owning the design and evolution of the transactional systems that power the platform, defining architecture for database and storage systems under high-throughput, low-latency workloads, making and driving decisions around data modeling, indexing, replication, and consistency, debugging and resolving complex production issues, establishing standards for reliability, observability, and operability across the platform, partnering with product and research teams to support evolving and often ambiguous requirements, driving improvements in performance, scalability, and cost across the system, mentoring engineers and raising the bar for system design and technical decision-making.

Key qualifications include 10+ years of experience building and operating production systems at scale, with ownership of critical infrastructure, strong experience designing and operating transactional systems and databases, deep understanding of data modeling, indexing, transactions, concurrency, and consistency tradeoffs, experience owning systems with strict reliability and performance requirements in production, strong experience debugging complex production issues and reasoning about failure modes, experience designing distributed systems or large-scale infrastructure where tradeoffs are non-trivial, proven ability to define architecture and drive technical decisions end-to-end, strong judgment in balancing performance, reliability, and cost, ability to operate effectively in ambiguous, fast-moving environments with high ownership.

Preferred qualifications include experience with database internals, storage systems, or query engines, experience building infrastructure for AI/ML systems or data platforms, experience in early-stage or high-growth environments.

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Key responsibilities include:

• Owning the design and evolution of the build, test, and release systems that power the platform.
• Defining architecture for a Bazel-based monorepo, including performance, caching, and dependency graph scalability.
• Improving build performance and correctness, including incremental builds, caching strategies, and graph optimisation.
• Designing and operating test infrastructure, focusing on reliability, isolation, and signal quality.
• Building and improving release and rollout systems, including deployment pipelines, canarying, and rollback.
• Improving end-to-end developer velocity, from local iteration to production deployment.
• Debugging and resolving complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
• Establishing standards for reproducibility, observability, and operability across build and release systems.
• Identifying and eliminating systemic failure modes across the development lifecycle.

Requirements include:

• 10 or more years of experience building and operating production systems at scale, with ownership of critical infrastructure.
• Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
• Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
• Strong systems understanding of how code moves from source to build to test to production.
• Hands-on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
• Experience owning systems with strict reliability and performance requirements.
• Strong proficiency in at least one of Python, Go, or Rust, and comfort working across languages in a polyglot codebase.
• Proven ability to define architecture and drive technical decisions end-to-end.
• Strong judgment in balancing developer velocity, system complexity, and reliability.
• Ability to operate effectively in ambiguous, fast-moving environments with high ownership.

Preferred qualifications include deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimisation, as well as experience designing hermetic and reproducible build systems.

At World Labs, we're looking for fearless innovators who thrive on challenges and aren't afraid to tackle the impossible. We're resilient builders who can weather the storms of groundbreaking research and come out stronger. We're mission-driven, collaborative, and passionate about creating the best spatially intelligent AI systems, and using them to empower people.

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This is a high-ownership, fullstack-but-backend-heavy role that sits between R&D and frontend. You will work end-to-end across graphics/ML algorithms, backend services, and frontend UI , turning proof-of-concepts into shipped features that users can rely on. The ideal candidate enjoys making complex, messy systems work smoothly in production and improving them continuously based on both internal testing and external user feedback.

Key Responsibilities

• Bridge research and product by working closely with both graphics/computer vision researchers and frontend engineers to ship usable features.
• Turn standalone Python scripts into clean, production-ready systems with clear inputs, outputs, validations, and failure modes.
• Develop backend services, APIs, and tooling that expose complex 3D workflows in a reliable and scalable way.
• Assist in integrations across the 3D ecosystem, including asset import/export and format conversion with common DCC tools.

Ideal Candidate Profile

• You have a strong pipeline mindset, with experience turning scripts into production systems with clear inputs, outputs, validations, and failure modes.
• You enjoy building tools and infrastructure that enable others, and you take pride in making complex systems understandable and usable.
• You have fluency in the 3D ecosystem, including familiarity with 3D algorithms, DCC tools and common 3D file formats, sufficient to design integrations and debug workflow issues.

Minimum Qualifications

• Strong proficiency in Python, including packaging, typing, tooling, debugging, and performance profiling.
• Strong literacy in core 3D graphics and computer vision concepts, such as transforms, cameras, coordinate systems, rendering, and visual artifact debugging.
• Demonstrated experience taking prototypes to production, including refactoring, testing, CI/CD, versioned artifacts, and reproducibility.
• Solid backend fundamentals, including HTTP APIs, FastAPI (or similar frameworks), async/concurrency basics, cloud deployment, and service reliability.

Strongly Preferred / Nice-to-Haves

• Experience with photogrammetry, 3D reconstruction, or Gaussian splat rendering pipelines.
• Hands-on experience with DCC tools such as Blender, Maya, Houdini, Unreal, or Unity.
• Familiarity with the GPU stack (CUDA, PyTorch), batch/queue systems, and containerization (Docker, Kubernetes).
• Frontend adjacency, with comfort collaborating on React-based parameter plumbing and UX for technical controls.
• Experience with production pipelines at VFX, animation, or gaming studios.
• A production support mindset, including willingness to iterate on documentation, tutorials, and error messages to improve usability and reduce misuse.

Example Projects You Might Work On

• Packaging ML and 3D Python pipelines into GPU-backed FastAPI services with request validation, reproducible outputs, and well-defined request/response schemas.
• Designing parameter schemas and defaults that map cleanly from frontend controls to backend APIs and internal pipeline configurations.
• Integrating import/export workflows with popular DCC tools (e.g., Blender, Maya, Houdini, Unity, Unreal, USD), identifying workflow friction, and producing lightweight documentation, tutorials, and example code/scripts to help users succeed.

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 - then World Labs is your launchpad.

Join us, and let's make history together.

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