Principal Applied Scientist - Personalization & Discovery

Amazon; Sunnyvale (CA); On-site; USD 229,000 - 309,000; Full time

Job summary

Amazon Prime Video seeks a Principal Applied Scientist to lead AI/ML innovations across personalization and discovery. You will guide systems from research to production, mentor scientists, and influence roadmaps.

You will apply deep learning, reinforcement learning, and large-scale experimentation to deliver AI-powered experiences to millions of customers and shape the strategic direction of ML at Prime Video.

Qualifications

• PhD or Master’s with 10+ years of applied ML experience.
• 8+ years designing, building, and deploying ML models at scale.
• Proven leadership in cross-functional ML/AI initiatives.
• Experience in Python, Java, or C++, and ML frameworks (TensorFlow, PyTorch).
• Deep expertise in recommendation systems or large-scale personalization.

Responsibilities

• Invent, prototype, and productionize large-scale AI solutions across Prime Video's personalization and discovery ecosystem using deep learning, generative AI, reinforcement learning, and optimization techniques.
• Provide technical leadership and influence product vision by collaborating with engineers, product managers, and senior stakeholders.
• Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction.
• Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration.
• Stay ahead of industry trends and emerging research; leverage them to evolve long-term strategy and architecture.
• Publish impactful research internally and externally (e.g. top-tier conferences and journals).

Skills

Machine learning

Leadership

Python/Java/C++

TensorFlow/PyTorch

Recommendation systems

Education

PhD

Master's with 10+ years experience

Tools

TensorFlow

PyTorch

Hadoop

Spark

Job description

Amazon Prime Video seeks a Principal Applied Scientist to lead AI/ML innovations across personalization and discovery. You will guide systems from research to production, mentor scientists, and influence roadmaps.

You will apply deep learning, reinforcement learning, and large-scale experimentation to deliver AI-powered experiences to millions of customers and shape the strategic direction of ML at Prime Video.