ZipRecruiter

Log In

1

Spatial Labs Jobs (NOW HIRING)

Wayve

Research Scientist, Wayve Labs

Sunnyvale, CA · Hybrid

$230K - $380K/yr

The Role We're looking for Research Scientists to join Wayve Labs and help build the next ... Representation Learning & Spatial Intelligence: Advancing how machines truly understand and ...

World Labs

Technical Recruiter

San Francisco, CA

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 ...

World Labs

Technical Recruiter

San Francisco, CA · On-site

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 ...

Meta

Reality Labs Digital Accounting Manager

Austin, TX · On-site +1

$114K/yr

Reality Labs (RL) is developing cutting-edge hardware and software that fundamentally transforms ... for wearable devices and spatial computing platforms * Collaborate with cross-functional ...

HTX Labs

C2H UX Data Researcher

$42 - $55/hr

HTX Labs is dedicated to driving learning innovation, providing the necessary digital ... spatial computing, learning platforms, and the customer journey. • You excel at collaborating ...

World Labs

Product Operations

San Francisco, CA

$180 - $225K/hr

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 ...

World Labs

Research Platform Engineer

San Francisco, CA · On-site +1

$241K/yr

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 ...

World Labs

Research Platform Engineer

San Francisco, CA · On-site

$241K/yr

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 ...

World Labs

Product Operations

San Francisco, CA · On-site

$180 - $225K/hr

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 ...

Meta

Reality Labs Digital Accounting Manager

Austin, TX · On-site

$114K - $167K/yr

... devices and spatial computing platforms • Collaborate with cross-functional stakeholders ... Labs financial results, including variance analysis and management reporting • Contribute to ...

World Labs

Senior Product Engineer

San Francisco, CA · On-site

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 ...

next page

Showing results 1-20

People also search for

All JobsSpatial Labs Jobs

Spatial Labs information

See salary details

$57

$70

$93

How much do spatial labs jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for spatial labs in the United States is $70.99, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $81.73 per hour, depending on experience, location, and employer.

What is the difference between Spatial Labs vs GIS Analyst?

AspectSpatial LabsGIS Analyst
Required CredentialsTypically requires a degree in geospatial sciences, GIS, or related fields; certifications like GISP are commonRequires a degree in geography, GIS, or related fields; certifications like GISP are often preferred
Work EnvironmentOften involves working with advanced geospatial technology, software development, and data analysis in tech or research settingsPrimarily works in GIS software, data analysis, and cartography within government, environmental, or urban planning agencies
Employer & Industry UsageUsed by tech companies, research institutions, and innovative startups focusing on spatial data solutionsEmployed by government agencies, consulting firms, and environmental organizations for spatial data management

While both Spatial Labs and GIS Analysts work with geospatial data, Spatial Labs often emphasizes innovative technology development and data integration, whereas GIS Analysts focus on data analysis, mapping, and reporting within established GIS frameworks. The roles overlap in skills and certifications but differ in application and work environment.

More about Spatial Labs jobs
What cities are hiring for Spatial Labs jobs? Cities with the most Spatial Labs job openings:
What states have the most Spatial Labs jobs? States with the most job openings for Spatial Labs jobs include:
What job categories do people searching Spatial Labs jobs look for? The top searched job categories for Spatial Labs jobs are:
Spatial Labs jobs near you
Infographic showing various Spatial Labs job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $147,666 per year, or $71 per hour.

Research Scientist (Spatial AI & Neural Reconstruction)

Mecka AI

New York, NY • On-site

$200K - $250K/yr

Full-time

Posted 6 days ago

Job description

About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems-where model performance is dictated by data quality.
The Role
While our existing perception division handles classical state estimation and VIO, this role is dedicated to the next generation of spatial and temporal intelligence. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch.
Your core mandate is twofold: building our in-house equivalents to cutting-edge 3D reconstruction architectures, and developing highly robust optical flow models tailored for the chaotic domain of egocentric vision. Beyond these core pillars, you will serve as a lead problem-solver for emergent perception challenges as our hardware and downstream robotics needs evolve.
To achieve this, we can provide a massive, continuous stream of high-quality, proprietary ground-truth data captured by our infrastructure. You will use this data advantage to train networks that surpass current public baselines, owning the complete spatial-temporal perception loop for our data engine.
What You'll Work On
Architecting Proprietary Spatial Models
  • Zero-to-One Model Development: Design, implement, and train state-of-the-art feed-forward network and per-scene differential optimization architectures for 3D geometry extraction.
  • Large-Scale Distributed Training: Scale multi-view ML architectures across multi-GPU clusters to handle massive, multi-modal spatial datasets.
  • Loss & Architecture Innovation: Push the boundaries of current paradigms by developing novel loss functions and attention mechanisms tailored to our specific data distributions.
Egocentric Optical Flow & Temporal Dynamics
  • Egocentric Motion Modeling: Build and train custom optical flow architectures capable of handling the extreme motion blur, rapid rotations, and sudden occlusions inherent in head-mounted or robot-mounted cameras.
  • Dynamic Scene Understanding: Use your flow models to segment dynamic actors, track objects through complex manipulations, and provide motion regularization for downstream action-conditioned world models.
Emergent Perception R&D
  • Rapid Prototyping: Tackle novel, unmapped AI challenges as they arise. You will rapidly prototype and deploy new models for tasks spanning tracking, segmentation, multi-modal sensor fusion, and beyond.
  • Agile Problem Solving: Pivot to resolve sudden algorithmic bottlenecks in the data engine, adapting the latest research to unblock new product capabilities or hardware integrations.
Next-Level Dense Reconstruction
  • Neural Rendering Integration: Connect the outputs of your foundational models into highly optimized, large-scale dense reconstruction pipelines (3D Gaussian Splatting, NeRFs) to generate photorealistic environments.
Who You Are
Required Background
  • Deep expertise in Deep Learning, 3D Computer Vision, and Temporal/Video Modeling.
  • Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning.
  • Strong theoretical and practical understanding of modern feed-forward 3D networks and dense motion estimation.
  • Mastery of PyTorch and deep learning scaling frameworks.
  • Experience handling and curating massive, multi-terabyte image and video datasets for training.
  • Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.
Strong Signals:
  • First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D deep learning, optical flow, video generation, or spatial transformers.
  • Specific experience working with egocentric video datasets (e.g., Ego4D, Ego-Exo4D) and solving the unique optimization challenges they present.
  • Experience writing custom CUDA kernels to accelerate 3D operations, ray marching, or correlation volume computations.
Why This Role?
  • The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth that most academic researchers only dream of.
  • Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.
  • High Impact: The spatial priors and motion models you architect will directly define how the next generation of embodied AI agents perceive and move through the physical world.

Apply