Applied Scientist 5.5, Generative Modelling and Computer Vision at Adobe (Bangalore or Noida)

Job Description

Adobe is hiring an Applied Scientist (level 5.5) in generative modelling and computer vision for its Applied AI team in Bangalore or Noida to design and ship large diffusion-based models for image, video and multimodal generation, and to mentor a team of ML engineers.

At a glance

• Role: Applied Scientist 5.5, Applied AI team
• Location: Bangalore or Noida
• Experience: 15+ years of hands-on ML engineering in industry or research
• Focus: diffusion models, vision foundation models and controllable generation
• Requisition: R169437
• Apply: open until filled (re-checked 12 October 2026)

What you will do

• Design, train and fine-tune large diffusion models for image, video and multimodal generation
• Improve sampling efficiency with distillation, consistency models, progressive training and guidance
• Build production pipelines for segmentation, detection, depth, optical flow and 3D reconstruction, and fine-tune vision foundation models with LoRA or adapters
• Integrate vision encoders with generative backbones for controllable generation and editing (ControlNet, IP-Adapter, inpainting)
• Own the ML lifecycle from data curation to deployment, including quantisation, ONNX export and distributed training on large GPU clusters
• Lead design reviews, set quality standards and mentor junior and mid-level ML engineers

The posting spans the full stack of generative imaging: training diffusion models such as DDPM, LDM and DiT, making sampling faster through distillation and consistency models, adapting vision foundation models such as ViT, CLIP, DINOv2 and SAM, and shipping optimised models with quantisation and efficient attention.

What Adobe is looking for

• 15+ years of hands-on ML engineering in industry or research
• An MS or PhD in computer science, machine learning, statistics or equivalent experience
• Expert Python and PyTorch (mandatory)
• Deep knowledge of score-based and diffusion models and computer vision fundamentals
• Fine-tuning large vision and generative models at scale with DDP, FSDP, DeepSpeed or Megatron-LM
• Probabilistic ML and information theory, MLOps tooling, and a record of shipping models at scale

Nice to have

• Flow-based generative models, including rectified flow and flow matching
• Video generation and 3D generative models (NeRF, Gaussian splatting)
• Multimodal LLM-plus-vision systems and RLHF/DPO for generative alignment
• Active open-source contributions, for example to Hugging Face Diffusers

Pay and location

Adobe’s posting does not state a salary. The role is based in Bangalore or Noida.

How to apply

Apply through the official Adobe job posting. Adobe’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 12 October 2026. Check the posting for location and work-authorisation details before you apply.

See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.