Job Description

About the Role
We are looking for a Senior Machine Learning Engineer with deep expertise in generative modeling and computer vision to join Adobe's Applied AI team. In this role, you will architect and ship state-of-the-art diffusion-based models, drive applied research into production, and mentor a team of talented engineers. You will work at the intersection of cutting-edge research and real-world impact — translating the latest advances in generative AI into scalable, reliable systems.

Key Responsibilities
Generative Modeling
- Design, train, and fine-tune large-scale diffusion models (DDPM, DDIM, LDM, DiT) for image, video, and multimodal generation tasks.
- Drive improvements in sampling efficiency — distillation, consistency models, progressive training, and guided generation techniques.
- Stay current with and rapidly prototype ideas emerging from the broader AI community.

Computer Vision & Perception
- Build production-grade pipelines for image/video understanding: segmentation, detection, depth estimation, optical flow, and 3D reconstruction.




- Develop and fine-tune vision foundation models (ViT, CLIP, DINOv2, SAM) for downstream tasks using parameter-effective methods (LoRA, adapters).
- Integrate vision encoders with generative backbones for controllable generation (ControlNet, IP-Adapter, inpainting, editing).

Applied ML & Systems
- Own the full ML lifecycle: data curation, experiment tracking, model evaluation, optimization, deployment, and monitoring.
- Optimize models for inference: quantization (INT8/FP8), ONNX export, Flash Attention, and xFormers.
- Design scalable training infrastructure on distributed GPU clusters (DDP, FSDP, DeepSpeed) across thousands of GPU-hours.
- Define and instrument evaluation frameworks, benchmarks, and human preference studies (RLHF / DPO) to measure generative quality.

Leadership & Collaboration
- Lead technical design reviews, write engineering RFCs, and set quality standards for the team.
- Mento

📌 Applied Scientist 5 (Bengaluru)
🏢 Adobe
📍 Bengaluru