Applied Scientist, Data Center Design Engineering

Description
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 Amazon's 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 infrastructure. In other words, weu2019re 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 u2014 and weu2019re looking for talented people who want to help.
Youu2019ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youu2019ll 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 youu2019ll 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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s 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, itu2019s 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
Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll 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, thereu2019s nothing we canu2019t achieve in the cloud. This job opportunity is available both for the full time and part time employment.
Basic Qualifications
- PhD, or a Master's 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
Preferred Qualifications
- 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.
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