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 Adobes generative multimodal models. This involves strengthening Adobes 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:

Masters 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.

Since this is junior role we need the role has strong publications experience and previous industry level intern experience

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets 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.

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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 its restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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.