Senior Applied Scientist — Generative AI at Scale

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Science is seeking a highly skilled ML scientist to drive research and production-grade models for advertising at scale. You will lead end-to-end projects, craft experiments, and collaborate with engineers, PMs, and fellow scientists to deliver impactful, customer-friendly ML solutions.

Applicants should have strong Python/Java/C++ experience and deep learning proficiency, with 5+ years of industry ML work and a PhD or Master’s with research background. Seattle location preferred.

Qualifications

• 5+ years building ML models for real business applications.
• PhD, or Master’s degree + 6 years of applied research experience.
• Strong programming skills in Python, Java, C++, or similar.
• Hands-on experience with deep learning and neural network methods.

Responsibilities

• Research and build next-generation ML solutions—including generative AI and LLM applications—that transform how advertising works.
• Own end-to-end projects: from messy, ambiguous problems to deployed, production-grade models.
• Design experiments that validate your hypotheses and measure real business impact.
• Build models that balance what’s best for customers and advertisers—advertising should feel helpful, not intrusive.
• Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster.

Skills

ML experience

Programming languages

Deep learning

Research ability

Education

PhD or Master’s + 6+ years

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Job description

Amazon Science is seeking a highly skilled ML scientist to drive research and production-grade models for advertising at scale. You will lead end-to-end projects, craft experiments, and collaborate with engineers, PMs, and fellow scientists to deliver impactful, customer-friendly ML solutions.

Applicants should have strong Python/Java/C++ experience and deep learning proficiency, with 5+ years of industry ML work and a PhD or Master’s with research background. Seattle location preferred.