Applied Scientist: Large-Scale ML & AI Solutions

Amazon Science; Arlington (VA); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon is seeking an Applied Scientist to design, develop, and deploy production ML solutions at scale, solving business problems and empowering decision‑making across teams.

Based in Arlington, VA, you will work on predictive modeling, NLP, recommendation, and generative AI, collaborating with product, engineering, and business leaders to translate challenging problems into rigorous technical solutions that drive impact for millions of users.

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 and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsibilities

• Design and deploy large-scale machine learning systems in production environments.
• Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI.
• Create ML solutions that personalize manager onboarding and development experiences — identifying individual capability gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts.
• Partner to build causal inference models and experimental frameworks to measure impact.
• Collaborate with product managers, engineers, and business leaders to define technical roadmaps.
• Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

Skills

Java

C++

Python

Machine learning

Distributed systems

Education

PhD or Master’s in CS/CE/ML

Job description

Amazon is seeking an Applied Scientist to design, develop, and deploy production ML solutions at scale, solving business problems and empowering decision‑making across teams.

Based in Arlington, VA, you will work on predictive modeling, NLP, recommendation, and generative AI, collaborating with product, engineering, and business leaders to translate challenging problems into rigorous technical solutions that drive impact for millions of users.