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.
\nThis 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.
\nResponsibilities:
\nKey Qualifications:
\nWho You Are:
\nWe'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.
","enriched_at":1776431417060},{"id":"job_5c969383-410","title":"Research Engineer / Scientist (3D Tech Lead)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4110164009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"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.\n\nThis 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.\n\nKey responsibilities include:\n\n* Setting the technical vision and roadmap for 3D modeling and reconstruction, balancing research exploration with product-driven milestones.\n* Leading the design and implementation of state-of-the-art 3D modeling systems, spanning geometry, appearance, and scene-level representations.\n* Driving innovation in modern 3D modeling approaches, including learning-based and optimization-based methods, with an eye toward robustness, scalability, and real-world data.\n* Guiding architectural decisions around 3D representations, training pipelines, and inference systems, ensuring they integrate cleanly with broader 3D data and rendering platforms.\n* 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.\n* Owning end-to-end execution of key initiatives, from early research prototypes through production deployment and iteration.\n* Collaborating closely with cross-functional partners to align 3D modeling capabilities with product needs, timelines, and quality bars.\n* Representing the team and its work internally and externally, including contributing to publications, technical talks, or open-source efforts where appropriate.\n* Continuously evaluating emerging research and industry trends in 3D modeling and reconstruction, and translating the most promising ideas into actionable plans.\n\n-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.","enriched_at":1776431414156},{"id":"job_2e513a92-ec5","title":"Research Scientist (Generative Modeling)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4089324009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are seeking a talented Research Scientist with a strong background in generative modeling, particularly diffusion models, to join our modeling team. This role is ideal for candidates with deep expertise in diffusion models applied to images, videos, or 3D assets and scenes.\n\nWhile experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision.\n\nYou 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.\n\nKey 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.\n\nIdeal 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.\n\nNice 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.","enriched_at":1776431396134},{"id":"job_c6f5337c-c2f","title":"Research Engineer (Scaling Multimodal Data)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4164503009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a research engineer to help improve our in-house world models through better multimodal data. This role is about figuring out what data actually moves model quality , then building the datasets, pipelines, and experiments to prove it.
\nThe 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.
\nThis 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.
\nResponsibilities:
\nRequirements:
\nNice to Have:
\nWhat This Isn’t:
\nWe'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.
\nThis 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.
\nYou'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.
\nResponsibilities:
\nKey Qualifications:
\nWho You Are:
\nWe'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.
\nJoin us, and let's make history together.
","enriched_at":1776431384260},{"id":"job_b225c712-792","title":"Technical Recruiter","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4135918009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Technical Recruiter / Research Talent Sourcer to join World Labs and help us build a world-class research and engineering team. In this role, you will own and scale our technical recruiting and sourcing systems, with a particular focus on identifying and engaging top-tier AI researchers and engineers from leading universities and industry labs.\n\nThis 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.\n\nResponsibilities:\n\n* Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability\n* Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields\n* Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems\n* Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals\n* Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy\n* Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication\n* Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions\n* Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably\n\nKey Qualifications:\n\n* 3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains\n* Demonstrated ability to build and maintain highly organized recruiting systems and processes\n* Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions\n* Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams\n* Experience sourcing passive, highly competitive candidates\n* Excellent written and verbal communication skills\n* Ability to operate effectively in fast-moving, ambiguous environments\n\nPreferred Qualifications:\n\n* Experience in one or more of the following is a strong plus:\n\n * Recruiting or sourcing for research-heavy organizations or frontier AI labs\n * Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)\n * Experience hiring PhD-level researchers or highly specialized engineers\n * Background in startup environments or early-stage team building\n * Experience with advanced sourcing tools, automation, or custom workflows\n\nWho You Are:\n\n* Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.\n* 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.\n* Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.\n* Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.\n\nEqual Opportunity & Pay Transparency\n\nWorld 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.\n\nIn accordance with California law, we disclose the following:\n\n* 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)\n* Total Compensation: Base salary plus equity awards and annual performance bonus\n* Salary History: We do not request or consider prior compensation in making offers\n\nCompliance:\n\n* 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)\n* Accommodations & inquiries: talent@worldlabs.ai","enriched_at":1776431374519},{"id":"job_6acd8036-5ec","title":"Platform Engineer (Databases & Storage)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4194381009","location":"San Francisco","job_type":"full-time","experience_level":"staff","work_arrangement":"onsite","category":"Engineering","description":"We are looking for a Staff Platform Engineer to own the database and storage foundation of World Labs. This is a high-impact systems role at the intersection of databases, distributed systems, and AI infrastructure. You will define how core data systems are designed, scaled, and operated in an environment where workloads are evolving quickly and requirements are often ambiguous.\n\nYour 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.\n\nKey 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.\n\nPreferred 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.","enriched_at":1776431373493},{"id":"job_f177cdbc-372","title":"Platform Engineer (Developer Infrastructure)","source_url":"https://job-boards.greenhouse.io/worldlabs/jobs/4215994009","location":"San Francisco","job_type":"full-time","experience_level":"staff","work_arrangement":"onsite","category":"Engineering","description":"We are seeking a Staff Platform Engineer to own Developer Infrastructure at World Labs. This is a high-impact systems role focused on build systems, testing infrastructure, and release and rollout pipelines. You will define and operate the systems that make our engineering organisation fast, reliable, and scalable, in an environment where both the codebase and workloads are evolving quickly.\n\nKey responsibilities include:\n\n* Owning the design and evolution of the build, test, and release systems that power the platform.\n* Defining architecture for a Bazel-based monorepo, including performance, caching, and dependency graph scalability.\n* Improving build performance and correctness, including incremental builds, caching strategies, and graph optimisation.\n* Designing and operating test infrastructure, focusing on reliability, isolation, and signal quality.\n* Building and improving release and rollout systems, including deployment pipelines, canarying, and rollback.\n* Improving end-to-end developer velocity, from local iteration to production deployment.\n* Debugging and resolving complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.\n* Establishing standards for reproducibility, observability, and operability across build and release systems.\n* Identifying and eliminating systemic failure modes across the development lifecycle.\n\nRequirements include:\n\n* 10 or more years of experience building and operating production systems at scale, with ownership of critical infrastructure.\n* 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.\n* Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.\n* Strong systems understanding of how code moves from source to build to test to production.\n* Hands-on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.\n* Experience owning systems with strict reliability and performance requirements.\n* Strong proficiency in at least one of Python, Go, or Rust, and comfort working across languages in a polyglot codebase.\n* Proven ability to define architecture and drive technical decisions end-to-end.\n* Strong judgment in balancing developer velocity, system complexity, and reliability.\n* Ability to operate effectively in ambiguous, fast-moving environments with high ownership.\n\nPreferred 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.\n\nAt 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.","enriched_at":1776431367812}],"category_normalised":[{"category":"engineering","count":11}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":11}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":0,"prior_14d":11,"growth_pct":-100,"classification":"decelerating"},"salary_vs_industry":{"company_median":null,"industry_median":null,"percentile":null,"sample_size":0,"by_region":[],"transparency_pct":0,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":11,"industry_total":11,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.298,"skill_weighted_score":0.315,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"C++","count":4,"score":0.345},{"skill":"Computer Vision","count":4,"score":0.331},{"skill":"3D Reconstruction","count":3,"score":0.307},{"skill":"Python","count":7,"score":0.304},{"skill":"Machine Learning","count":3,"score":0.288}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":11,"share_pct":100}],"emerging":[{"region":"United States","recent_30d":11,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":8}}}}