Applied Scientist, Generative AI/ML

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 is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors.

What You'll Do

• Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs.
• Develop and deploy novel generative AI technologies to existing and new Adobe Products.
• Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities.
• Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions.
• Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields

Required Qualifications

• Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience.
• Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio.
• Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques.
• Experience with post-training techniques such as fine-tuning, alignment or distillation.
• Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters.
• Excellent communication skills and a strong great teammate

What You'll Bring

• Strong publication record in reinforcement learning, LLMs, and LMMs
• Experience on large-scale generative model training
• Experience on synthetic data generation
• Experience of working with large-scale datasets
• Experience of working with product teams on technology transfers

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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.

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