Senior Applied Scientist, Amazon Studios AI Lab

TN United Kingdom; London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Senior Applied Scientist with a focus on computer vision and machine learning. This exciting role offers the opportunity to work at the forefront of AI innovation, shaping the future of digital content. You will lead the development of cutting-edge algorithms and solutions that enhance user experiences for millions worldwide. Collaborate with top-tier engineers and scientists in a dynamic environment that values creativity and technical excellence. If you're passionate about transforming ideas into reality and thrive in a fast-paced setting, this is the perfect opportunity for you.

Qualifications

• PhD in a quantitative field such as computer science or engineering.
• Experience programming in Java, C++, or Python.
• Expertise in machine learning and computer vision.

Responsibilities

• Lead development of new algorithms and end-to-end solutions.
• Collaborate with cross-functional teams on ML systems.
• Mentor junior scientists and drive technical strategy discussions.

Skills

Machine Learning

Computer Vision

Java

Python

C++

Deep Learning

Statistical Analysis

Education

PhD in Computer Science

PhD in Engineering

PhD in Mathematics

Tools

TensorFlow

scikit-learn

Spark MLLib

Hadoop

Job description

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Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

2feb3b410180

Job Views:

11

Posted:

28.04.2025

Expiry Date:

12.06.2025

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Job Description:

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 computer vision 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 Computer Vision who wil 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 Computer Vision and 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 computer vision and 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 Amazon Studios. This team is considered strategic and has visibility with Prime Video Amazon Studios 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 computer vision (CV) and machine learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders.

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 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.