Senior Applied Scientist — Cloud Prototyping & AI Experiments

Amazon Inc.; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking a Sr. Applied Scientist for AWS Specialists and Partner Prototyping based in New York.

You will build working prototypes with customers and partners, train models on their data, and demonstrate credible paths to production on AWS through short, four-to-six-week cycles. You will push the frontier of AI in areas like autonomous robotics, agentic developer intelligence, and scalable patterns.

Qualifications

• PhD or Master’s degree with 5+ years of applied research experience.
• Experience building ML models for business applications.
• Experience programming in Java, C++, Python or related languages.
• Experience using managed ML/AI solutions.

Responsibilities

• Participate in deep architectural and scientific design discussions to ensure prototypes are crafted for deployment in the cloud and production.
• Provide hands-on participation producing and demonstrating prototypes on the AWS platform.
• Frame problems, select models, design experiments, and judge technical feasibility.
• Conduct training sessions to transfer knowledge to prototyping customers and partners.
• Act as a thought leader and share best-practice knowledge across AWS.
• Contribute to AWS customer-facing publications such as blogs and reference patterns.
• Liaise between customers, service engineering teams, and sales to carry real-world signals back.

Skills

Applied research

ML model training

Prototype development

Education

PhD or Master’s + 5+ years

Tools

Java

C++

Python

TensorRT

vLLM

SGLang

Job description

Amazon Web Services (AWS) is seeking a Sr. Applied Scientist for AWS Specialists and Partner Prototyping based in New York.

You will build working prototypes with customers and partners, train models on their data, and demonstrate credible paths to production on AWS through short, four-to-six-week cycles. You will push the frontier of AI in areas like autonomous robotics, agentic developer intelligence, and scalable patterns.