Our Company

　　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 Opportunity

　　As a Software Engineer at Adobe's Workfront, you will work with your Engineering team and partner with Product Management to take ideas for Workfront products and turn them into realized features in our Work Automation Cloud platform in an Agile environment and estimate assigned work, create OO designs, provide task breakdowns and implement features and micro-services.

　　As a Sr. Computer Scientist with an AI background, your role extends beyond mere programming. In conjunction with your AI engineering duties, you're also tasked with leading a team of varying sizes to achieve results in a specific AI domain. This involves identifying interdependencies and potential pitfalls within the group's objectives, offering insights to project managers during the planning phase, suggesting refinements to our AI engineering methodologies, and aiding fellow experts in improving their skills to address particular challenges effectively. Join us at Workfront, an Adobe company, and be at the forefront of AI innovation.

　　What you'll do

　　Build new features using our development technologies that will delight and encourage marketers, IT professionals, and other knowledge workers worldwide.

　　Debate the optimal design of an ideal user experience for a variety of unrealized features identified by our Product friends or propose some ideas of your own!

　　Help other software engineers find the best way to test your work to ensure that not only does it work as advertised, but it will continue to work and perform at a mass scale when thousands upon thousands of people are using it at the same time.

　　Lead discussions with what emerging tools, technologies and processes are coming that may impact how we improve our products and SaaS platform in the future.

　　Provide your well-considered opinions on the creation and modification of our technology roadmaps.

　　Partner with researchers to integrate cutting-edge AI technologies into the product and deliver a responsive, scalable solution ready for a mass audience.

　　Provide technical leadership in everything from architectural design to service technologies.

　　Continuously evaluate and adopt the best-emerging technologies.

　　What you need to succeed

　　7+ years of strong experience building and maintaining high-complexity web apps.

　　Preferably a B.S., M.S., or Ph.D. degree in Computer Science.

　　Fluency in practical data structures, algorithms, data modeling, and distributed systems.

　　Understanding of practices in designing AI features in products and use cases for different AI technologies and their integrations.

　　Deep understanding of machine learning algorithms, neural networks, and deep learning frameworks. Experience with data preprocessing, feature engineering, and model selection.

　　Familiarity with AI development tools and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

　　Fluency in Python and a solid understanding of Java.

　　Experience with the following technologies: React.js, Node.js, Kubernetes, Docker, NoSQL, MongoDB, Kafka, SingleStore, Elasticsearch, AWS, GCP, Azure, etc.

　　Hands-on Experience

　　Proven ability to design, train, and deploy machine learning models.

　　Practical knowledge of AI deployment and scaling in production environments.

　　General

　　Strong problem-solving skills and the ability to identify business opportunities where AI can add customer value.

　　Experience researching solutions to problems and pitching your ideas to other senior engineers.

　　Effective collaboration skills with engineering teams.

　　Ability to demonstrate a high level of ownership for the entire SDLC; including QA, build, deployment, and support of production systems.

　　Strong desire to learn new technologies.

　　Fluent written and spoken English skills.

　　Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more.

　　Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, [email protected] call (408) 536-3015.

　　Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.