Applied Scientist, Data Center Design Engineering

Are you passionate about revolutionizing the Architecture Engineering Construction and Ownership (AECO) industry through next-generation artificial intelligence AWS Data Center Design Engineering is seeking an exceptional Applied Scientist with Building Information Modeling (BIM) domain expertise to transform how we design and deliver Amazons global data center infrastructure.

In this role you will build state-of-the-art machine learning systems that accelerate data center design workflows by automating building design tasks in BIM environments and ensuring compliance with building codes and design standards. You will work across both structured data (BIM models from Autodesk Revit 3D geometries spatial relationships) and unstructured data (construction drawings specifications submittals) to develop production-grade ML solutions.

This position offers a unique science breadth spanning graph neural networks natural language processing reinforcement learning and computer vision with the opportunity to research and apply novel techniques against real-world engineering challenges at unprecedented scale. You will collaborate closely with architects structural engineers MEP engineers construction managers UX designers product managers and software development teams to translate research innovations into deployed systems that deliver measurable customer impact.

The ideal candidate combines strong theoretical foundations in machine learning with practical experience applying ML to domain-specific problems. You understand that AECO professionals maintain exceptionally high trust bars and require AI systems that augment rather than replace professional judgment. You thrive on solving hard problems at the intersection of ML research and domain expertise.

Key job responsibilities
- Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production

- Build adapt evaluate and deploy ML models for BIM and AECO applications collaborating with software engineers for productionization

- Research innovative machine learning approaches and identify new opportunities for GenAI applications in the building engineering and design domain

- Design and implement model architectures train and fine-tune foundation models using domain-specific datasets and optimize performance through iterative experimentation

- Process and prepare training data including data governance provenance tracking quality checks and creating reusable data pipelines

- Define research roadmaps aligned with business priorities balancing foundational research with incremental product improvements for AECO applications

- Represent the team in the broader science community publishing findings delivering tech talks and staying at the forefront of GenAI and BIM research

- Collaborate with a cross-functional team of ML scientists building engineers software engineers UX designers and product managers and present results to senior leadership

A day in the life
About AIS
AWS Infrastructure Services (AIS) owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

About the team
About AWS

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud. This job opportunity is available both for the full time and part time employment.

- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience working with data from the Architecture Engineering Construction (AEC) industry or related domains such as Building Information Models (BIM) CAD 3D geometry spatial computing construction drawings specifications or building code regulations

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

m/w/d

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