Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting ...
Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting ...
... 3D models built on each customer's IP, paired with creative production workflows and a media ... Build novel generative models and pipelines to support mesh generation, physically based material ...
... 3D models built on each customer's IP, paired with creative production workflows and a media ... Build novel generative models and pipelines to support mesh generation, physically based material ...
... 3D geometries * Collaborate closely with computational chemists to integrate first-principles ... Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based ...
... 3D geometries * Collaborate closely with computational chemists to integrate first-principles ... Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based ...
Research Scientist, Generative AI - Seattle
Seattle, WA · On-site
$250/hr
Research Scientist, Generative AI - Seattle Location Seattle Employment Type Regular Job Code ... 3D pose estimation, hand pose estimation, human shape estimation); facial analysis. * Highly ...
Research Scientist, Generative AI - Seattle
Seattle, WA · On-site
$250/hr
Research Scientist, Generative AI - Seattle Location Seattle Employment Type Regular Job Code ... 3D pose estimation, hand pose estimation, human shape estimation); facial analysis. * Highly ...
Research Scientist Graduate (Foundation Model, Generative AI) - 2025 Start (PhD) (Seattle)
Seattle, WA · On-site
$198K - $416K/yr
Conduct cutting‑edge research and development in foundation models and multimodal machine learning, especially in generative AI such as image, video, or 3D generation. * Develop foundation models ...
Research Scientist Graduate (Foundation Model, Generative AI) - 2025 Start (PhD) (Seattle)
Seattle, WA · On-site
$198K - $416K/yr
Conduct cutting‑edge research and development in foundation models and multimodal machine learning, especially in generative AI such as image, video, or 3D generation. * Develop foundation models ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). * The analysis and alleviation of ethical flaws in generative models, including techniques for ...
Research Scientist, Generative AI - Seattle
Seattle, WA · On-site
$207K - $368K/yr
Responsibilities: • Conduct cutting-edge research and development in computer vision, generative ... 3D pose estimation, hand pose estimation, human shape estimation) - Facial analysis 2. Highly ...
Research Scientist, Generative AI - Seattle
Seattle, WA · On-site
$207K - $368K/yr
Responsibilities: • Conduct cutting-edge research and development in computer vision, generative ... 3D pose estimation, hand pose estimation, human shape estimation) - Facial analysis 2. Highly ...
The work sits at the intersection of generative models, 3D systems, and creator-facing tools, and it requires someone who canoperatecomfortably across design, product, and engineering. This is a ...
The work sits at the intersection of generative models, 3D systems, and creator-facing tools, and it requires someone who canoperatecomfortably across design, product, and engineering. This is a ...
Sr. Applied Scientist - Computer Vision, Amazon Robotics
Seattle, WA · On-site
$104K - $142K/yr
We hire and develop subject matter experts in AI with a focus on 3D perception, computer vision, deep learning, and generative modeling We target high-impact algorithmic unlocks in areas such as 3D ...
Sr. Applied Scientist - Computer Vision, Amazon Robotics
Seattle, WA · On-site
$104K - $142K/yr
We hire and develop subject matter experts in AI with a focus on 3D perception, computer vision, deep learning, and generative modeling We target high-impact algorithmic unlocks in areas such as 3D ...
We hire and develop subject matter experts in AI with a focus on 3D perception, computer vision, deep learning, and generative modeling We target high-impact algorithmic unlocks in areas such as 3D ...
We hire and develop subject matter experts in AI with a focus on 3D perception, computer vision, deep learning, and generative modeling We target high-impact algorithmic unlocks in areas such as 3D ...
Member of Technical Staff - World Models
Seattle, WA · On-site
$150 - $200/hr
Experience training generative or predictive sequence models end to end at multi-node scale (video, 3D, or latent dynamics) and fluency in PyTorch from prototype to production-scale training
Member of Technical Staff - World Models
Seattle, WA · On-site
$150 - $200/hr
Experience training generative or predictive sequence models end to end at multi-node scale (video, 3D, or latent dynamics) and fluency in PyTorch from prototype to production-scale training
Generative 3D information
See Seattle, WA salary details
$10.94 - $15.22
3% of jobs
$15.22 - $19.50
4% of jobs
$22.44 is the 25th percentile. Wages below this are outliers.
$19.50 - $23.78
26% of jobs
The median wage is $28.05 / hr.
$23.78 - $28.05
17% of jobs
$28.05 - $32.33
7% of jobs
$32.33 - $36.61
11% of jobs
$39.14 is the 75th percentile. Wages above this are outliers.
$36.61 - $40.89
12% of jobs
$40.89 - $45.16
12% of jobs
$45.16 - $49.44
0% of jobs
$49.44 - $53.72
4% of jobs
$53.72 - $58
4% of jobs
$10
$32
$57
How much do generative 3d jobs pay per hour?
As of Sep 7, 2026, the average hourly pay for generative 3d in Seattle, WA is $32.99, according to ZipRecruiter salary data. Most workers in this role earn between $22.69 and $41.06 per hour, depending on experience, location, and employer.
What is a generative 3d artist?
A Generative 3D artist is a professional who uses algorithms, code, and artificial intelligence to create three-dimensional visual content. They leverage generative design techniques and tools to produce complex, innovative 3D models, animations, and environments that may be difficult to achieve manually. These artists often work in industries such as gaming, film, architecture, and virtual reality, where procedural content and automation can enhance creativity and efficiency. Their expertise combines traditional 3D modeling skills with programming and a strong understanding of computational design.
What are the key skills and qualifications needed to thrive as a generative 3d designer?
To thrive as a Generative 3D Designer, you need a solid background in 3D modeling, algorithmic or procedural design, and computer graphics, often supported by a degree in design, computer science, or a related field. Familiarity with tools like Blender, Houdini, Autodesk Maya, and programming languages such as Python or C++ is typically required. Creativity, problem-solving, and effective communication are crucial soft skills to excel when working with multidisciplinary teams and interpreting complex design briefs. Mastering these skills ensures the ability to create innovative 3D content efficiently, adapt to evolving technologies, and meet diverse project requirements.
What are some common challenges faced by professionals working in generative 3d roles, and how can they be addressed?
Professionals in Generative 3D often encounter challenges such as balancing creative freedom with technical constraints, managing computational resources for complex scenes, and ensuring compatibility across different software and platforms. Staying updated with rapidly evolving tools and algorithms can also be demanding. To address these challenges, it's helpful to engage in continuous learning, collaborate closely with both technical and artistic team members, and participate in industry forums to share solutions and best practices.
What is the difference between Generative 3D vs 3D Modeler?
| Aspect | Generative 3D | 3D Modeler |
|---|---|---|
| Primary Focus | Using algorithms and AI to automatically generate 3D content | Manually creating detailed 3D models based on specifications |
| Required Skills | Programming, AI, procedural modeling | 3D modeling software, artistic skills |
| Work Environment | Tech companies, AI labs, digital content creation | Design studios, gaming, animation |
| Certifications | Computer science, AI, 3D software proficiency | 3D modeling software certifications, art degrees |
Generative 3D specialists focus on creating 3D content through algorithms and AI, automating parts of the modeling process. In contrast, 3D Modelers manually craft detailed models using software tools. Both roles are essential in digital content creation but differ in approach, skills, and work environment.
What are popular job titles related to Generative 3D jobs in Seattle, WA?
For Generative 3D jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Generative 3D jobs in Seattle, WA look for?
The top searched job categories for Generative 3D jobs in Seattle, WA are:
Full-time
Re-posted 12 days ago
Microsoft rating
8.6
Based on 134 frontline employees who took The Breakroom Quiz
69th of 247 rated software companies
Job description
Overview
Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.
At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
We are building Microsoft's platform for physical intelligence-an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.
We are hiring a Member of Technical Staff, Microsoft Robotics (Robotics Simulation) at the Senior level, to lead the development of physics-ready 3D asset generation pipelines and integration of reality capture technologies into Microsoft's robotics simulation infrastructure. This role focuses on bridging the physical and simulated worlds by creating high-fidelity digital representations of real-world environments, objects, and robots. The engineer will build workflows that transform raw sensor data (photogrammetry, LiDAR scans, depth maps) into simulation-ready 3D assets with accurate geometry, material properties, and physics parameters, enabling photorealistic synthetic data generation, digital twin construction, and sim-to-real model validation.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MicrosoftRobotics #MDQ
Responsibilities
Qualifications
Required Qualifications:
Other Requirements:
Preferred Qualifications:
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.
At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
We are building Microsoft's platform for physical intelligence-an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.
We are hiring a Member of Technical Staff, Microsoft Robotics (Robotics Simulation) at the Senior level, to lead the development of physics-ready 3D asset generation pipelines and integration of reality capture technologies into Microsoft's robotics simulation infrastructure. This role focuses on bridging the physical and simulated worlds by creating high-fidelity digital representations of real-world environments, objects, and robots. The engineer will build workflows that transform raw sensor data (photogrammetry, LiDAR scans, depth maps) into simulation-ready 3D assets with accurate geometry, material properties, and physics parameters, enabling photorealistic synthetic data generation, digital twin construction, and sim-to-real model validation.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MicrosoftRobotics #MDQ
Responsibilities
- Design and build automated pipelines for converting reality capture data (photogrammetry, LiDAR point clouds, depth camera scans, 360-degree imagery) into physics-ready 3D simulation assets with accurate geometry, collision meshes, material properties, and articulation definitions.
- Develop and maintain toolchains for physics-ready 3D asset generation, including mesh optimization, UV unwrapping, PBR material assignment, collision hull generation, mass/inertia parameter estimation, and annotation of semantic and functional properties.
- Integrate reality capture hardware and software workflows (e.g., NeRF, Gaussian splatting, structured light scanning, photogrammetry reconstruction) with the simulation platform's asset ingestion pipeline.
- Build 3D reconstruction workflows that enable rapid creation of simulation environments from real-world facility scans, supporting robotics deployment planning, testing, and validation.
- Create and maintain asset toolchains supporting industry-standard formats (USD/OpenUSD, glTF, FBX, OBJ) with appropriate physics and simulation metadata for import into robotics simulation engines.
- Develop synthetic data generation pipelines that leverage high-fidelity 3D assets to produce training data for perception, manipulation, and navigation models, including domain-randomized variations of materials, lighting, object placement, and camera viewpoints.
- Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements, validate simulation-to-reality visual and physical accuracy, and iterate on asset quality based on downstream model performance.
- Implement quality assurance and validation workflows for 3D assets, including automated checks for mesh integrity, physics parameter consistency, rendering fidelity, and simulation stability.
- Review code and technical designs to ensure adherence to team standards for 3D pipeline performance, asset management, and data integrity.
- Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting) for integration into the platform.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with 3D reconstruction pipelines, photogrammetry, LiDAR processing, or neural scene representation methods (NeRF, 3D Gaussian splatting).
- Proficiency with 3D content creation and processing tools (Blender, Fusion, Maya, Houdini, MeshLab, Open3D, or equivalent).
- Experience with USD/OpenUSD, OBJ, STL, or equivalent 3D interchange formats and their integration with simulation or rendering engines.
- Background in physically based rendering (PBR), material authoring, or real-time graphics pipeline development.
- Experience building synthetic data generation pipelines for training computer vision or perception models.
- Familiarity with robotics simulation platforms (Isaac Sim, Gazebo, MuJoCo, or equivalent) and their asset requirements.
- Understanding of physics parameter estimation, collision geometry optimization, and articulated object modeling for simulation fidelity.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
What Microsoft employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Microsoft
Sourced by ZipRecruiter
Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
10,000+ Employees
Headquarters location
Redmond, WA, US
Year founded
1975