Sr. Applied Scientist

About the Role

This role targets excelling talent needed for key product areas,

requiring significant domain expertise to accelerate critical initiatives. You

will be expected to materially improve the quality and controllability of

Adobe’s generative multimodal models. This involves strengthening Adobe’s

competitive position in generative AI quality and alignment through sustained

improvements in mid-training capabilities.

Key Responsibilities

• · Design and
• implement end-to-end training pipelines to build and improve editing quality for
• both images and videos. · Lead core development for specific mid-training areas
• (e.g., image to image and image to video editing), while aligning with broader
• team strategy. · Identify quality gaps in generative models and propose targeted
• mid-training solutions. · Develop scalable workflows for data curation, data
• quality improvements, and distributed training. · Increase engineering velocity
• and reducing iteration cost by systematizing mid-training experimentation and
• deployment. · Partner closely with research, data, evaluation, infrastructure,
• pre-training and post-training teams to push the editing quality for both images
• and videos. · Mentor junior engineers and contribute to raising the technical
• bar of the mid-training team.

Qualifications

• &

Requirements

• · Master’s degree
• or Ph.D. in Computer Science, Machine Learning, or a related field preferred. ·
• Proven track record in mid-training or continual pre-training of large-scale
• multimodal models, specifically on cross modality for image and video data. ·
• Deep understanding of pre-training, mid-training and/or post training for
• multimodal generative models. · Deep understanding of modern diffusion-based
• architectures (DiT) and conditional generation and editing, e.g., instruct
• editing, to drive precise structural and temporal control in production
• environments. · Strong expertise in Vision-Language Models (VLMs), including
• experience with contrastive learning, multimodal alignment, and leveraging
• VLM-based encoders to improve semantic understanding in generative tasks. ·
• Ability to design and implement scalable pipelines for data curation, data
• quality control, and distributed training in collaboration with data and
• infrastructure teams. · Experience optimizing model inference and deployment for
• high-throughput product environments, ensuring a balance between generative
• quality and computational efficiency.

About Adobe

Adobe empowers everyone to

create through innovative platforms and tools that unleash creativity,

productivity and personalized customer experiences. Adobe’s industry-leading

offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative

Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable

people and businesses to turn ideas into impact, powered by AI and driven by

human ingenuity. Our 30,000+ employees worldwide are creating the future and

raising the bar as we drive the next decade of growth. We’re on a mission to

hire the very best and believe in creating a company culture where all employees

are empowered to make an impact. At Adobe, we believe that great ideas can come

from anywhere in the organization. The next big idea could be yours. Let’s Adobe

together At Adobe, we believe in creating a company culture where all employees

are empowered to make an impact. Learn more about Adobe life, including our

values and culture, focus on people, purpose and community, Adobe for All,

comprehensive benefits programs, the stories we tell, the customers we serve,

and how you can help us advance our mission of empowering everyone to create.

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 protected characteristic. Learn more. Adobe aims to make

our Careers website and recruiting process 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 +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are

designed to reflect your own skills and thinking. The use of AI or recording

tools during live interviews is not permitted unless explicitly invited by the

interviewer or approved in advance as part of a reasonable accommodation. If

these tools are used inappropriately or in a way that misrepresents your work,

your application may not move forward in the process. At Adobe, we empower

employees to innovate with AI — and we look for candidates eager to do the same.

As part of the hiring experience, we provide clear guidance on where AI is

encouraged during the process and where it’s restricted during live interviews.

See how we think about AI in the hiring experience. Expected Pay Range: 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 $164,000 -- $313,300 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. In California, the pay range for

this position is $216,400 - $313,300 In Washington, the pay range for this

position is $204,800 - $296,600 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. At Adobe, you will be

immersed in an exceptional work environment that is recognized around the world.

You will also be surrounded by colleagues who are committed to helping each

other grow through our unique Check-In approach where ongoing feedback flows

freely. If you’re looking to make an impact, Adobe's the place for you. Discover

what our employees are saying about their career experiences on the Adobe Life

blog and explore the meaningful benefits we offer. There's more than meets the

eye when it comes to Adobe. Take the quiz and see how well you know us! 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.