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

Prime Video & Amazon MGM Studios

Seattle (WA)

On-site

USD 199,000 - 269,000

Full time

10 days ago

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Benefits offered by this job

Health insurance (medical, dental, and

401(k) matching

Paid time off

Parental leave

Sign-on incentives and RSUs

EAP and mental health support

Job summary

Amazon.com Services LLC is seeking a Principal Applied Scientist to lead the invention, development, and deployment of groundbreaking AI solutions at scale, powering personalized experiences for millions of customers. You will shape vision for ML systems supporting Prime Video’s mission and collaborate with engineering, product, and exec stakeholders to drive impactful results.

You will prototype and productionize AI systems, mentor teams, publish research, and stay ahead of trends to guide

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.
Experience in Python, Java, or C++, and experience with ML frameworks (e.g., TensorFlow, PyTorch).
Deep expertise in recommendation systems, search relevance, or large-scale personalization systems.

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 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).

Skills

Python/Java/C++

ML frameworks

Leadership in ML/AI

Model deployment experience

Education

PhD or Master’s with 10+ years applied

Tools

Hadoop

Spark

Job description

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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.

Key job 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 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
Experience in Python, Java, or C++, and experience with ML frameworks (e.g., TensorFlow, 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, RecSys, 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.

Our inclusive culture

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Benefits