Principal Applied Scientist, Data Center Design Engineering - BIM & AI Technologies
Job ID: 10396447 | Amazon Data Services, Inc.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. 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 we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles, collaborating across AWS to deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.
The AWS Data Center Engineering - BIM & AI Technologies team is seeking a Principal Applied Scientist to lead the science vision for AI-powered design automation across Amazon's global data center infrastructure. Our team builds state‐of‐the‐art machine learning systems that automate building design tasks in BIM environments, ensure compliance with building codes and design standards, and accelerate facility design workflows at an unprecedented scale.
Key Responsibilities
* Define and drive the science roadmap for AI‐powered BIM design automation, balancing foundational research with incremental product improvements aligned to business priorities.
* Lead the design, development, and deployment of production‐grade ML models for BIM and AECO applications, including fine‐tuning foundation models on domain‐specific datasets and optimizing performance through iterative experimentation.
* Research innovative machine learning approaches and identify new opportunities for GenAI applications in the building engineering and design domain across both structured and unstructured data.
* Drive end‐to‐end GenAI projects with high complexity and ambiguity from conception to production, spanning foundation models, graph neural networks, NLP, reinforcement learning, and computer vision applied to real‐world engineering challenges at scale.
* Build scalable ML infrastructure and pipelines for training, fine‐tuning, and deploying models on large‐scale BIM datasets representing digital twins of physical facilities.
* Translate research advances into customer‐facing products, working closely with engineering, product, and cross‐functional teams to ensure robust deployment with human‐in‐the‐loop controls.
* Publish research findings at top‐tier ML conferences and journals, and represent the team in the broader science community through tech talks and publications.
* Mentor scientists and engineers at all levels, establish ML best practices, and drive technical excellence across the organization.
* Engage with cross‐functional stakeholders, including senior leadership, to drive alignment, influence product roadmaps, and communicate technical strategy.
Basic Qualifications
* 8+ years of building machine learning models or developing algorithms for business applications.
* PhD, or Master's degree and 10+ years of experience in CS, CE, ML, or a related field.
* Experience in patents or publications at top‐tier peer‐reviewed conferences or journals.
* Experience programming in Java, C++, Python, or a related language.
* Experience in several of the following areas: generative AI, deep learning, computer vision, graph neural networks, reinforcement learning, natural language processing, multimodal learning, or information retrieval.
Preferred Qualifications
* Experience creating novel algorithms and advancing the state of the art.
* Experience leading experienced scientists and developing junior members from academia or industry to a career track in a business environment.
* First‐author publications at Tier‐1 ML conferences.
* Experience bridging research with practical engineering implementation.
* Demonstrated Leadership in building and scaling agentic AI applications in production.
* 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.
Employment Information
Location: Seattle, WA, USA.
Salary: 198,900.00 – 269,000.00 USD annually (base salary; includes sign‐on payments and restricted stock units; final compensation varies with experience, qualifications, and location).
Benefits
Amazon offers comprehensive benefits, including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional 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 policies.
Equal Employment Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit Amazon's accommodations page for more information.
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