Applied Scientist, Generative AI and Synthetic Data

Amazon Lab126 builds the synthetic data that trains the AI in Amazons devices spanning wearables smart home and streaming. The team is looking for Applied Scientists to advance the science of making synthetic data maximally useful to the models it trains across video audio and 3D. This is generation but it is also the full loop around it: deciding what data to generate through data-centric methods like importance sampling and curriculum design combining it with real data and measuring its effect on the models that ship to customers.

A large part of the opportunity lies in the physical environment and how it responds to activity around it including fast-moving rule-governed events where signals across modalities must stay aligned in space and time. You will develop generative and simulation methods from diffusion and multimodal models to physics-based digital twins and sim-to-real transfer grounded in precise 3D spatial understanding and deliver science artifacts that feed the models shipping in Amazons devices. This is a hands-on research role with technical lead scope reporting to a manager within a cross-discipline organization of Applied Scientists and Software Development Engineers.

Key job responsibilities
- Develop and fine-tune generative models and 3D simulation pipelines across video audio and sensor modalities advancing temporal coherence identity preservation controllability and causality so that generation is action-conditioned and physically plausible.
- Develop training recipes that combine synthetic and real data effectively including mixing ratios curriculum ordering and sampling strategies and characterize when synthetic data helps when it hurts and why.
- Build evaluation methods that predict synthetic datas impact on downstream models without full training runs using proxy signals and embedding-based diagnostics that shorten the feedback loop from days to minutes.
- Model structured rule-governed activity so that generated multimodal data stays coherent across modalities 3D space and time and build 3D-consistent scene and event representations that keep generated data spatially faithful.
- Validate all work by measured improvement on production models ship science artifacts to products and mentor junior scientists and interns.

A day in the life
You might start your morning reviewing experiment results from an overnight training run then join a design discussion with engineers to plan how your model will be integrated into a production pipeline. After lunch you could be prototyping a new approach to a problem your team recently identified writing clean and well-documented code as you iterate. Later you might pair with a teammate to review their research methodology or prepare findings for an upcoming science review.

About the team
Our team owns the synthetic data strategy that accelerates time to market across Amazons devices business. Demand for this data is growing and we are actively expanding into new product categories. Our goal is to own this strategy across multiple flagship product lines for the entire devices organization dramatically reducing how long it takes to get new capabilities into customers hands.

We are a cross-discipline group of Applied Scientists and Software Development Engineers who partner closely to move ideas from research to production. If you want your science to directly shape the AI powering the next generation of Amazon devices this is an exciting place to build your career.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
- 2 years of building machine learning models for business application experience
- Experience programming in Java C Python or related language
- Experience in designing experiments and statistical analysis of results

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Have publications on top-tier conferences such as CVPR ICCV ECCV or NeurIPS

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Sunnyvale - 171600.00 - 222200.00 USD annually
USA WA Bellevue - 142800.00 - 193200.00 USD annually