Degree in Computer Engineering
Algorithms, Analytical and Problem solving, Data structuring, Generative AI, Leadership, Machine learning techniques, MLOps tools, Python Programming, Teamwork
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
The Adobe Document Cloud's AI Team is looking for an experienced Machine Learning Manager to help with a variety of AI related projects including generative AI. The Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF files across a range of services, mobile apps and desktop products. The flagship PDF application within DC is Adobe Acrobat, which is installed on over a billion devices and opens billions of PDFs every year. Our offerings extend beyond Acrobat to Adobe Sign, Document Cloud Platform, and Adobe Scan.
The team’s mission is to use ML to build new experiences with documents, across our entire suite of offerings. Our most recent public features are Liquid Mode, allowing a seamless reflow experience for PDFs phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our team’s solutions are deployed on mobile devices, in the cloud, and on desktop.
As an ML leader, you will get to democratize (generative) AI for all, and empower a team of accomplished scientists and engineers who are dedicated to building the future of AI and documents, and delivering delightful experiences.
Join our team as a Machine Learning Manager, and together we will create the future of generative AI and documents while fostering an environment that cultivates talent and drives innovation.
The work is dynamic, fast-paced, creative, collaborative and data-driven.
What you'll Do
As a Machine Learning Manager, you will have a wide range of responsibilities and opportunities to make significant impact on building the future of documents in DC AI team:
What you need to succeed
To succeed in this role as the Machine Learning Manager, the following skills and qualifications are needed:
#FireflyGenAI
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 $144,800 -- $289,900 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).
Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Noida, Uttar Pradesh, India
2-4 year
San Jose, CA, USA
2-4 year
San Jose, CA, USA
8-10 year
San Francisco, CA, USA
8-10 year
San Jose, CA, USA
8-10 year
Canberra City, Australian Capital Territory, Australia
4-6 year
Munich, Bavaria, Germany
2-4 year
Austin, TX, USA; Lehi, UT, USA; New York, NY, USA; San Francisco, CA, USA; San Jose, CA, USA; Seattle, WA, USA
10-12 year
Austin, TX, USA; Chicago, IL, USA; Emeryville, CA, USA; Lehi, UT, USA; Los Angeles, CA, USA; McLean, VA, USA; Minneapolis, MN, USA; New York, NY, USA; Portland, OR, USA; San Francisco, CA, USA; San Jose, CA, USA; Seattle, WA, USA; Waltham, MA, USA; Washington D.C., DC, USA
8-10 year