Principal Applied Scientist, Prime Video Personalization & Discovery , PV Personalization & Discovery, Principal

Description

As a Principal Applied Scientist at Prime Video, you will be a technical and strategic leader responsible for inventing, developing, and deploying groundbreaking AI solutions that power personalized, relevant, and delightful experiences for millions of global customers. You will help shape the vision and direction of key ML systems that support Prime Video's mission to deliver AI-powered customer experiences.

This role demands a unique blend of deep technical expertise in machine learning and recommendation systems, industry leadership, and strong collaboration skills. You will guide the development of high-impact systems end-to-end - leading innovation from foundational research through production deployment - while mentoring scientists and influencing product and engineering roadmaps.

We are looking for a thought leader who brings a strong track record of delivering ML innovations at scale, along with the curiosity and drive to push boundaries. This is a rare opportunity to drive meaningful impact at one of the largest streaming services in the world.

Key job responsibilities

- Invent, prototype, and product ionize 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 closely 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).

Basic Qualifications

PhD (or Master's with 10+ years of applied experience) in machine learning, computer science, statistics, or a related field

8+ years experience designing, building, and deploying ML models for real-world business applications at scale

Proven leadership in driving cross-functional ML/AI initiatives from ideation through production

in Python, Java, or C++, and experience with ML frameworks (e.g., Tensor Flow, PyTorch)

Deep expertise in recommendation systems, search relevance, or large-scale personalization systems

Preferred Qualifications

Strong publication record in top-tier conferences (e.g. NeurIPS, ICML, KDD, Rec Sys, SIGIR)

Experience with large-scale distributed systems (e.g. Hadoop, Spark)

Demonstrated ability to influence technical roadmaps and mentor other scientists and engineers

Experience defining and delivering strategic AI vision for consumer-facing products

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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