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Posted on 2025/12/08

Staff Applied Scientist, Generative AI/ML

Adobe

Los Angeles, CA, United States

Full-time

Qualifications

  • Master's or Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 4+ years of 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 (TensorFlow, PyTorch) and experience scaling models on GPU/TPU clusters
  • Excellent communication skills and a strong team player

Responsibilities

  • You will conduct pioneering research and development in Generative AI for visual, audio, and multi-modal outputs
  • Your responsibilities include developing and deploying novel generative AI technologies to existing and new Adobe Products, researching and developing novel large-scale foundation models with deep reasoning and world-building capabilities, collaborating with world-class researchers and ML engineers, and publishing your work in scientific venues

Full Description

Our Mission

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.

The Opportunity

We are seeking Applied Scientists in Generative AI to our world-class AI Platform team.

You will conduct pioneering research and development in Generative AI for visual, audio, and multi-modal outputs.

Your responsibilities include developing and deploying novel generative AI technologies to existing and new Adobe Products, researching and developing novel large-scale foundation models with deep reasoning and world-building capabilities, collaborating with world-class researchers and ML engineers, and publishing your work in scientific venues.

Required Qualifications

• Master's or Ph.

D. in Computer Science, CV/AI/ML/CG or related fields and 4+ years of 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 (TensorFlow, PyTorch) and experience scaling models on GPU/TPU clusters.

• Excellent communication skills and a strong team player.

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