AI Software Development Engineer
San Jose, United States
Full Time Senior-level / Expert USD 133K - 242K
Adobe
Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.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
Adobe's EPG (Emerging Products Group), also known as the Nextcam team, is seeking a Software Development Engineer with training and/or experience in modern AI, and in computer vision, image processing, or computational photography, to join our team in San Jose, California. We are particularly looking for candidates who are both strong programmers and have experience in developing, debugging, optimizing, and/or deploying AI models.
This is a relatively new team, led by VP and Fellow Marc Levoy, that is exploring next-generation image and video editing features powered by AI, computer vision, and computational photography, which will be deployed in Adobe Camera Raw, Lightroom, Photoshop, Premiere, Express, or other imaging products, with the opportunity for broad impact. As examples of what we work on, the team recently launched an AI-based feature for removing window reflections from photographs; as described in this blog. This launch produced a ton of positive press coverage (e.g. The Verge), influencer videos (e.g. PhotoshopCafe), and interviews (e.g. CNET). Earlier in 2024 we launched an AI model that automatically adjusts the tone and color of photographs, as described in this blog. For SLR/MIR camera users, this may be the first time they've seen their photographs rendered in high dynamic range.
If you are passionate about photography and AI, and enjoy engineering and productization challenges, leading to broad product impact that puts magical new imaging features in the hands of millions of users, this is your opportunity to work with a great team who is changing the photography industry.
What you’ll do
· Work with researchers to develop and tune AI-heavy features for photography and video applications.
· Profile and optimize AI models for use in Adobe Camera Raw, Lightroom, Photoshop, and other products.
· Translate image processing code from Python into C++ for integration into Camera Raw or other codebases.
· Work with engineers on other Adobe teams to deploy AI models in Linux-based cloud servers.
· Translate AI models from Python into CoreML, ONNX etc. for deployment on MacOS, Windows, iOS, Android devices.
· Develop software tools and workflows to facilitate and automate these tasks, and to support long-term maintenance.
· Stay abreast of the latest advancements in AI research, model conversion, and deployment tools.
What you need to succeed
· B.S., M.S., or PhD degree in Computer Science or a related field.
· Experience with computer vision, computational photography, and/or modern AI applied to these fields.
· An interest in applying your skills to problems in photography and videography defined broadly.
· Strong programming skills (including C/C++ and Python).
· Experience with AI tools (e.g. PyTorch, CoreML, LiteRT, ONNX).
· A plus would be knowledge of the iOS or Android platforms and mobile app development environments.
· Another plus would be experience in programming on GPUs or other hardware accelerators.
· Should have a passion for quality and engineering excellence.
· And excellent communication and collaboration skills.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,900 -- $242,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and 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 accommodations@adobe.com or 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.
Tags: Computer Science Computer Vision CoreML Engineering Linux ONNX PhD Python PyTorch Research
Perks/benefits: Equity / stock options
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.