5 months ago

Applied Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Applied Scientist role focusing on training large-scale multimodal generative AI models for image and video synthesis within Adobe Firefly’s ASML group. You will conduct innovative research, develop conditional generation and editing techniques, collaborate with cross-functional teams, build evaluation pipelines, and translate research work into production using Python and PyTorch.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.
•Develop, carry out, and assess sophisticated techniques for conditional generation and editing, focusing on instruction compliance, controllability, and visual clarity in pre-trained models.
•Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications within Adobe products.
•Develop and maintain robust evaluation pipelines to assess generative models across quality, efficiency, robustness, and safety metrics.
•Translate research concepts and published work into production-ready implementations using Python and modern ML frameworks.

Key Requirements

•Master’s or Ph.D. in Computer Science, Machine Learning, or a related field
•Extensive practical experience in large-scale generative AI training for image and video generation/editing
•Familiarity with diffusion models, transformers, or other modern generative architectures
•Excellent communication and collaboration across cross-functional teams
•Strong coding/prototyping ability in Python, PyTorch, and ML infrastructure tools

Experience:Artificial intelligenceMultimodalGenerative AI

Education:Master's

Skills:PythonPyTorchDiffusion modelsTransformersML infrastructure

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsTransformersML infrastructureImage generationVideo generation

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

5 months ago

Applied Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.
•Develop, carry out, and assess sophisticated techniques for conditional generation and editing, focusing on instruction compliance, controllability, and visual clarity in pre-trained models.
•Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications within Adobe products.
•Develop and maintain robust evaluation pipelines to assess generative models across quality, efficiency, robustness, and safety metrics.
•Translate research concepts and published work into production-ready implementations using Python and modern ML frameworks.

Key Requirements

•Master’s or Ph.D. in Computer Science, Machine Learning, or a related field
•Extensive practical experience in large-scale generative AI training for image and video generation/editing
•Familiarity with diffusion models, transformers, or other modern generative architectures
•Excellent communication and collaboration across cross-functional teams
•Strong coding/prototyping ability in Python, PyTorch, and ML infrastructure tools

Experience:Artificial intelligenceMultimodalGenerative AI

Education:Master's

Skills:PythonPyTorchDiffusion modelsTransformersML infrastructure

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsTransformersML infrastructureImage generationVideo generation

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor