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!
- Tech lead projects that delivers critical ML services and APIs to integrate first- and third-party models and pipelines for Enterprise customers
- Collaborate cross-functionally with PMs, PMMs, TPMs, and other engineering teams to shape the roadmap of Adobe’s Enteprise Gen AI space
- Act as a technical leader and coach, guiding a team of ML and platform engineers through complex, high-stakes projects.
- Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency
- Review and provide feedback on features, technology, architecture, designs, test strategies, and service reliability standards.
- Champion innovation by exploring emerging ML and MLOps technologies to boost Adobe’s GenAI effectiveness.
- MS/PhD in Computer Science, AI/ML, or related fields, or equivalent industry experience.
- 8+ years of experience in machine learning, including production-scale deployments.
- 5+ years of engineering leadership experience, with a track record of growing and mentoring high-performing teams.
- Strong background in generative AI technologies (e.g., GANs, diffusion models, transformers).
- Proven ability to lead large, cross-functional teams through complex, time-sensitive projects.
- Excellent communication skills, with a knack for influence and driving alignment in matrix organizations.
- Hands-on experience with training, fine-tuning, inference, and optimization of generative models, multi-modality models.
- Hands-on familiarity with optimizing and converting models across formats
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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity 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 [email protected] or call (408) 536-3015.
