Applied Scientist 5
Core
Architect and ship state-of-the-art diffusion-based models for image, video, and multimodal generation, driving applied research into production at Adobe's Applied AI team.
Role type
Senior IC machine learning engineer (generative modeling & computer vision)
Builds
Scalable, reliable generative AI systems (diffusion models, vision foundation models) for Adobe's creative platforms
Domain
Generative AI, Computer Vision, Multimedia
Deliverable
production ML models
Required skills
Generative modeling (diffusion, score-based), Computer vision (CNNs, ViTs, segmentation, detection), Distributed training (DDP, FSDP, DeepSpeed), Model optimization (quantization, ONNX, Flash Attention), MLOps tooling, Python, PyTorch
Preferred skills
Flow-based generative models, Video generation architectures, 3D generative models, Multimodal systems (LLMs + vision), RLHF/DPO, Open-source contributions
Technologies
PyTorch, DDPM, DDIM, LDM, DiT, ViT, CLIP, DINOv2, SAM, ControlNet, IP-Adapter, W&B, MLflow, DVC, HuggingFace Diffusers
Responsibilities
Design, train, and fine-tune large-scale diffusion models; Build production-grade pipelines for image/video understanding; Optimize models for inference and design scalable training infrastructure; Lead technical design reviews and mentor junior/mid-level ML engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
