Machine Learning Engineer
Oct 22, 2024
Our Company
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
Changing the world through digital experiences is what Adobe's all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Challenge
We're seeking an engineer who loves building services for the creative professional and implementing features for the backend asset ingestion stack for Adobe Content.
Adobe Content has over a billion assets and is a platform that collects and distributes content to teams across Adobe, including Adobe Stock.
Adobe Stock provides designers and businesses with access to over 500 million high-quality, curated, royalty-free photos, vectors, illustrations, templates, audio, and 3D assets for all their creative projects.
Adobe Content assets are built right into Adobe desktop apps, via Adobe Stock, to search, browse, and add images to Creative Cloud Libraries, and get instant access to assets across desktop and mobile devices.
What you'll do
You'll be working as part of a team, crafting innovative new features and maintaining existing ones for Adobe using extraordinary technologies.
This team focuses on building highly scalable ingestion and delivery workflows for the Adobe Stock and Content ecosystem.
The ideal candidate will need a keen eye for detail, high code quality, and efficiency standards. You'll also be expected to debug issues across multiple systems, regularly share knowledge with peers, and collaborate in architectural design discussions.
Candidates who enjoy solving highly developed technical challenges have a drive for delighting customers and are self-motivated to push themselves in a team-oriented ethos will prosper in our environment.
Keys to your success
- B.S. or equivalent experience in Computer Science, or a related field.
- Experience building microservices in Node.js, Typescript and / or PHP.
- Experience building and maintaining services using GraphQL and familiarity with GraphQL federation.
- Experience maintaining highly available, fault-tolerant, and distributed services, including familiarity with technologies and architectures like microservices, managed services, AWS, Docker, New Relic, and Splunk.
- Knowledge of how to apply computer science principles to real-world problems, including algorithms, data structures, distributed systems, and data flow and storage.
- Strong familiarity with functional and object-oriented programming.
- Experience with quality development and tools, writing your own unit tests and integration tests.
- Experience with Agile development processes.
- Love to learn new things, work hard, and have fun.
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