Staff Applied Scientist - 3D Synthetic Data

Adobe’s Applied Science & Machine Learning (ASML) organization is looking forapplied research scientiststo helpusbuild the next generation of multimodal foundation models. We are seeking candidates with strong technicalexpertisein 3D/4D content generation, simulation and game engine workflows, agentic systems, and scalable data pipelines. We are particularly interested in candidates who enjoy working across traditional research and engineering boundaries and are excited about building novel systems for future foundation model training.

As an appliedresearchscientistat ASML, you will join a world-class team ofappliedresearchers and engineers developing the future of creative intelligence. You will have the opportunity to work on large-scale 3D/4D data generation, simulation-driven content creation, and agentic workflows that will power next-generation multimodal AI systems.

What you willbe responsible for:

• Develop large-scale pipelines for generating, curating, and validating 3D and 4D assets for foundation model training.

• Develop simulation-based data generation systems using game engines and digital environments.

• Build agentic workflows that use AI systems to create, manipulate, repair, annotate, evaluate, and refine 3D and 4D content.

• Design and implement asset integration pipelines formeshes,materials, textures, rigs, skeletal animation,blendshapes, motion clips, scene graphs, lighting, cameras, and physics metadata.

• Design tools and infrastructure for procedural asset creation, animation generation, motion synthesis, and interactive content generation.

• Advocate and set patterns for software development to scale up synthetic data generation.

• Collaborate with researchers and engineers across foundation models, multimodal learning, graphics, and data systems.

• BS, MS, or PhD in Computer Science, AI/ML, Computer Graphics, Robotics, Game Development, or related fields.

• Strong programming skills in Python and C++, with experience building reliable production quality software.

• Experience with game engines or 3D engines such as Unreal Engine, Unity, Blender, CARLA, Isaac Sim, Omniverse, or similar systems.

• Experience building scalable 3D data pipelines, including ingestion, transformation, validation, export, and quality control for assets, scenes, animation, and generated content.

• Strong working knowledge of 3D content systems, including meshes, materials, textures, scene structure, cameras, lighting, coordinate systems, skeletal animation, and motion workflows.

• Experience with procedural generation for assets, scenes, environments, characters, or simulation scenarios.

• Strong problem-solving skills and the ability to learnnew technologiesquickly.

• Excellent communication skills and the ability to collaborate across research and engineering teams.

Nice-to-have qualifications:

• Experience building agentic systems or LLM based workflows for automation.

• Background in animation, simulation, robotics, video games, or interactive environments.

• Experience with video generation, multi modal foundation models, diffusion models, world models, or generative models for 3D, 4D, motion, animation, or scene synthesis.

• Experience withreal timerendering, offline rendering, physics-based rendering, ray tracing, shader development, material systems, or rendering optimization.

• Experience with large scale data generation systems, including distributed rendering, simulation orchestration, dataset versioning, automated quality checks, and human review tooling.

• Research publications in computer graphics, computer vision, machine learning, robotics, or related fields.

• Interestin creative tools, games, virtual worlds, digital content creation, simulation, and emerging AI technologies.

About Adobe

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $164,000 – $313,300 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $216,400 - $313,300

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create., At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.