Applied Scientist: Autonomous AI & Multimodal Models

Amazon Science; Santa Clara (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Parental leave

Job summary

Amazon Science in Santa Clara seeks world‑class researchers to advance agentic AI, autonomous agents, API orchestration, planning, and large multimodal models. You will collaborate with product and research teams to design scalable models that power intelligent automation.

This role emphasizes publication and mentorship, a fast‑paced startup spirit within AWS, access to vast data and compute resources, and a compensation package including RSUs, health benefits, and competitive base salary.

Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer‑reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing, high‑performance computing

Responsibilities

• Define and implement new automated reasoning features using scalable approaches
• Apply software engineering best practices to ensure high-quality team deliverables
• Work in an agile, startup-like development environment
• Deliver high-quality scientific artifacts
• Work with the team to help drive business decisions

Skills

Java

C++

Python

Algorithms

Data structures

Numerical optimization

Parallel and distributed computing

High-performance computing

Education

PhD or MS in CS/CE/ML or related field

Tools

Unix/Linux

Job description

Amazon Science in Santa Clara seeks world‑class researchers to advance agentic AI, autonomous agents, API orchestration, planning, and large multimodal models. You will collaborate with product and research teams to design scalable models that power intelligent automation.

This role emphasizes publication and mentorship, a fast‑paced startup spirit within AWS, access to vast data and compute resources, and a compensation package including RSUs, health benefits, and competitive base salary.