Applied Scientist at Adobe

San Jose, California, United States

Adobe Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field
  • Strong hands-on experience with large-scale generative AI training and post-training (SFT, RLHF, DPO/GRPO, distillation)
  • Familiarity with diffusion models, transformers, or other state-of-the-art generative architectures
  • Excellent communication skills and ability to collaborate across cross-functional teams
  • Strong coding and prototyping ability in Python, PyTorch, and ML infrastructure tools
  • Experience working with product teams on technology transfers
  • Good publication record in Computer Science, AI/ML or related fields

Responsibilities

  • Conduct innovative research and development in post-training alignment and model distillation for large-scale generative AI models
  • Design and evaluate techniques such as RLHF, DPO/GRPO, SFT, reward modeling, and preference optimization to improve instruction-following, controllability, and safety
  • Develop efficient distillation, compression, and inference acceleration methods to make frontier models deployable at scale
  • Collaborate with researchers, engineers, and product teams to transfer post-training innovations into Adobe products
  • Build and maintain pipelines to evaluate generative models across quality, efficiency, and safety metrics
  • Convert research ideas/papers into production-ready implementations in Python and modern ML toolkits
  • Provide technical mentorship and guidance to peers and junior researchers

Skills

Key technologies and capabilities for this role

RLHFDPOGRPOSFTModel DistillationGenerative AIReinforcement LearningMachine LearningPost-TrainingAlignment

Questions & Answers

Common questions about this position

What expertise are you looking for in candidates for this Applied Scientist role?

The role seeks candidates with expertise in reinforcement learning from human feedback (RLHF), direct preference optimization (DPO/GRPO), supervised fine-tuning (SFT), and model distillation / efficiency methods.

What does Adobe's company culture emphasize?

Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity, valuing new ideas from everywhere in the organization.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Applied Scientist role remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Applied Scientist position at Adobe?

Strong candidates will have expertise in post-training techniques like RLHF, DPO/GRPO, SFT, and model distillation, with the ability to conduct innovative research, design evaluation methods, develop efficient models, and collaborate across teams.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters
1994Year Founded
$668.9MTotal Funding
IPOCompany Stage
Consumer Software, Enterprise Software, DesignIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.
Open-source alternatives may attract users away from Adobe's subscription model.
Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.
Adobe's subscription model includes special pricing for students, teachers, and businesses.
Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.
Remote work boosts demand for Adobe's cloud-based document management solutions.
AR's popularity in marketing benefits Adobe's 3D and AR tools.

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