Research Analyst ofertas em Grã-Bretanha

Job ID: 2899433 | Amazon Development Centre (London) Limited

Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world’s leading digital video services, and we’re just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing: Tottenham Hotspur and forthcoming drama series like The Power, Jungle and The Rig; exclusive TV shows like Nine Perfect Strangers and Little Fires Everywhere; and movies like Coming 2 America, Borat Subsequent Moviefilm and Without Remorse plus live sport including ATP and WTA Tour and US Open Tennis, Autumn Nations rugby and Premier League football.

Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon’s Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights.

Do you want to work at the intersection of Engineering, Machine Learning, Data Science, and GenAI? Do you like inventing, growing and learning from the world-class engineers and scientists? If so, we want to hear from you!

We are seeking a seasoned senior scientist with expertise in causal inference, reinforcement learning. multiagent systems, agenticAI as well as LLMs to join the Amazon Studios AI Labs team. This is a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights.

Key job responsibilities
We are looking for a Senior Applied Scientist with domain expertise in causal inference, reinforcement learning. multi agent systems, agentic AI as well as LLMs who will lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.


A day in the life
As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists.

You'll start with stand-ups, then transition to developing novel CV algorithms for product features impacting millions of customers. Afternoons often include technical deep-dives, reviewing research papers, and driving technical strategy discussions with leadership. You'll work with massive datasets, optimize model performance, and ensure production readiness.

We value your ability to balance scientific innovation with practical business impact while maintaining Amazon's high technical bar.

#AmazonCareers #MachineLearning #ComputerVision

About the team
This role is in a team that is building a new family of AI products for Prime Video Commerce Science Tech. This team is considered strategic and has visibility with Prime Video leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, contribute to exceeding the state of the art in machine learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders.

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

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

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.

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