Senior Applied Scientist: Prototyping & Horizon Innovation

Amazon Web Services (AWS); Santa Clara (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Senior Applied Scientist to work directly with customers and partners, building prototypes to demonstrate complex uses of AWS data, devices, and systems. Engagements run in four- to six-week cycles and aim to prove a credible path to production on AWS.

You will explore areas like Physical AI, autonomous robotics, self-driving labs, and agentic developer intelligence, shaping bets and sharing knowledge across the AWS platform.

Qualifications

• PhD, or Master’s degree and 5+ years of applied research experience.
• Experience in building machine learning models for business application.
• Experience programming in Java, C++, Python or related language.
• Experience using managed ML/AI solutions.
• Experience conveying complex technical concepts to both technical and business audiences.
• Experience with Advanced Compute technologies including Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
• Experience with LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

Responsibilities

• As a key member of the AWS Specialists and Partner Prototyping team, ensure customer success through hands-on participation producing and demonstrating prototypes on the AWS platform.
• Participate in deep architectural and scientific design discussions to ensure prototypes are crafted for successful deployment in the cloud and a credible path to production.
• Bring applied science depth to engagements: frame the problem, select and adapt models, design experiments, and judge technical feasibility honestly, including when the answer is that an approach will not work.
• Conduct one-to-few and one-to-many training sessions to transfer knowledge to prototyping customers, partners, and internal business partners.
• Act as a thought leader for your area of domain expertise across AWS, and share best-practice knowledge among the community.
• Author or otherwise contribute to AWS customer-facing publications such as peer reviewed position papers, blogs, and reference patterns.
• Act as a technical liaison between customers, service engineering teams, and sales, carrying real-world signal back to the teams building the services.

Skills

ML model development

Cloud architectures

Customer collaboration

Communication

Education

PhD or Master’s degree with 5+ years applied research

Tools

Java

C++

Python

Managed ML/AI solutions

Job description

Amazon Web Services (AWS) is seeking a Senior Applied Scientist to work directly with customers and partners, building prototypes to demonstrate complex uses of AWS data, devices, and systems. Engagements run in four- to six-week cycles and aim to prove a credible path to production on AWS.

You will explore areas like Physical AI, autonomous robotics, self-driving labs, and agentic developer intelligence, shaping bets and sharing knowledge across the AWS platform.