Applied Scientist II – Autonomous Agents & Multimodal AI

Amazon Inc.; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

RSUs

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Job summary

Amazon Science in New York is seeking world-class researchers to advance AI models for intelligent automation. You will collaborate with cross-functional teams to solve real-world problems using large multimodal models and reinforcement learning, delivering high-quality scientific artifacts in an agile environment.

The role emphasizes publishing findings, mentoring, and contributing to business decisions while exploring scalable reasoning and novel AI techniques in a dynamic team.

Qualifications

• 3+ years of building models for business application 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 and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning.
• Apply software engineering best practices to ensure a high standard of quality for all 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

Model building

Java

C++

Python

Algorithms

Tools

Unix/Linux

Job description

Amazon Science in New York is seeking world-class researchers to advance AI models for intelligent automation. You will collaborate with cross-functional teams to solve real-world problems using large multimodal models and reinforcement learning, delivering high-quality scientific artifacts in an agile environment.

The role emphasizes publishing findings, mentoring, and contributing to business decisions while exploring scalable reasoning and novel AI techniques in a dynamic team.