▷ Immediate Start! Machine Learning Engineer, Amazon StudiosAI Lab ...

Amazon
London
11 months ago
Applications closed

Job ID: 2953025 | Amazon Development Centre (London)Limited Are you interested in shaping the future of movies andtelevision? Do you want to define the next generation of how andwhat Amazon customers are watching? Prime Video is one of theworld’s leading digital video services, and we’re just gettingstarted changing the way millions of people around the world enjoycontent. Now available in more than 200 countries and territories,Prime Video offers customers the broadest selection of anyon-demand video service, including our critically-acclaimed AmazonOriginals Series such as The Boys, The Marvelous Mrs. Maisel, TheUnderground Railroad; UK-produced hit Amazon Original series likeGood Omens, The Grand Tour, All or Nothing and Premier Leaguefootball. Amazon Studios is the movies and television developmentand production arm of Amazon. It is our role to produce originalcontent and license studio programs worldwide in exclusive serviceof Amazon’s Prime Video customers. We need your passion, innovativeideas, and creativity to help take us to new heights. Do you likeinventing, growing and learning from world-class engineers andscientists? If so, we want to hear from you! This a hybrid appliedscience and engineering team that is developing bleeding edge AIsolutions to enhance efficiency, elevate creativity, and ultimatelyredefine industry standards, ensuring that every decision isaccelerated by intelligence and foresight. We need your passion,innovative ideas, and creativity to help take us to new heights.The solutions we're building are demanding. Collaborating withteams across Amazon and world leading universities we create novelalgorithms to automate workflows and innovate on behalf of ourstudios customers. This requires the use of the latest technologiesacross foundational models, transformer based architectures, imageprocessing, image analysis, computer vision and machine learning.We need to optimise those algorithms to run accurately andefficiently. The scope of our charter means we're also utilisingtechniques such as contextual understanding and correction, toensure the highest levels of video quality for our customers. Therange of problems we have to solve in our space, and the enormouspotential to positively impact Amazon Studios' ability to scale,provides a breath of opportunities for MLEs to grow and developtheir skills. Key job responsibilities You will be part of a teamof applied scientists and software development engineersresponsible for research, design, development and deployment ofalgorithms into production pipelines. As a technologist, you willalso contribute to publications of original work in top-tierconferences in Computer Vision and Machine Learning. You will beexpected to deal with ambiguity! We're looking for someone withoutstanding analytical abilities and someone comfortable workingwith cross-functional teams and systems. You must be a self-starterand be able to learn on the go. About the team The team is based inAmazon's engineering centre in London and consists of engineerswith a variety of backgrounds, from seasoned Amazonian to newlyhired; a mix of applied scientists, AWS experts and generalists,but all of us are learning and growing. We work closely with otherPrime Video engineering and science teams, including teams based onthe US west coast as well as in London. BASIC QUALIFICATIONS -Experience contributing to the architecture and design(architecture, design patterns, reliability and scaling) of new andcurrent systems - Experience in professional, non-internshipsoftware development - Experience programming with at least onemodern language such as Java, C++, or C# including object-orienteddesign - Experience in one or more of the following: machinelearning, multimodal models, computer vision, natural languageprocessing and audio/signal processing. PREFERRED QUALIFICATIONS -Experience with full software development life cycle, includingcoding standards, code reviews, source control management, buildprocesses, testing, and operations Amazon is an equal opportunitiesemployer. We believe passionately that employing a diverseworkforce is central to our success. We make recruiting decisionsbased on your experience and skills. We value your passion todiscover, invent, simplify and build. Protecting your privacy andthe security of your data is a longstanding top priority forAmazon. Please consult our Privacy Notice(https://www.amazon.jobs/en/privacy_page) to know more about how wecollect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon isan equal opportunity employer and does not discriminate on thebasis of race, national origin, gender, gender identity, sexualorientation, protected veteran status, disability, age, or otherlegally protected status. Our inclusive culture empowers Amazoniansto deliver the best results for our customers. If you have adisability and need a workplace accommodation or adjustment duringthe application and hiring process, including support for theinterview or onboarding process, please visithttps://amazon.jobs/content/en/how-we-hire/accommodations for moreinformation. If the country/region you’re applying in isn’t listed,please contact your Recruiting Partner.#J-18808-Ljbffr

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