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Machine Learning Engineer, Amazon Studios AI Lab

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Amazon

May 7

Applications are closed

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • London

Requirements

  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Experience in professional, non-internship software development
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience in one or more of the following: machine learning, multimodal models, computer vision, natural language processing and audio/signal processing.
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Responsibilities

  • 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 contribute to 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.

FAQs

What is the main focus of this position at Amazon Studios AI Lab?

The main focus of this position is to research, design, develop, and deploy algorithms that enhance efficiency, elevate creativity, and redefine industry standards in the film and television space using AI solutions.

What qualifications are required for this Machine Learning Engineer position?

Basic qualifications include experience in architectural design of systems, professional software development, proficiency in at least one modern programming language, and experience in machine learning, multimodal models, computer vision, natural language processing, or audio/signal processing.

Is experience with the full software development life cycle preferred?

Yes, experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations is preferred.

What kind of projects will I be working on?

You will be working on developing novel algorithms to automate workflows and innovate processes for Amazon Studios, particularly in enhancing video quality and utilizing state-of-the-art technologies.

Where is the team located?

The team is based in Amazon's engineering center in London.

How does the team collaborate with others at Amazon?

The team collaborates closely with other Prime Video engineering and science teams, including those based on the US west coast as well as in London.

Will there be opportunities for publications in this role?

Yes, as a member of this team, you will have the opportunity to contribute to publications of original work in top-tier conferences in Computer Vision and Machine Learning.

Is Amazon an equal opportunity employer?

Yes, Amazon is an equal opportunity employer and values diversity in the workforce. They make recruiting decisions based on experience and skills.

What is expected from candidates in terms of dealing with ambiguity?

Candidates should be comfortable dealing with ambiguity and be self-starters who can learn on the go.

Are there accommodations available for candidates with disabilities during the hiring process?

Yes, Amazon provides accommodations and adjustments during the application and hiring process for candidates with disabilities.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.