Applied Scientist 5.5

We are looking for aSenior Machine Learning Engineerwith deep expertise in generative modeling and computer vision to join Adobes Applied AI 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-scalediffusion 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-efficient 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.
• Mentor junior and mid-level ML engineers through code reviews 1:1s and pair-programming sessions.
• Collaborate with product research and infrastructure teams to translate research ideas into shipped features.

Required Qualifications

• 15 years of hands-on ML engineering experience in industry or research.
• MS or PhD in Computer Science Machine Learning Statistics or equivalent practical experience.
• Expert-level Python; strong mandatory proficiency inPyTorch.
• Deep theoretical and practical knowledge ofscore-based and diffusion models.
• Strong background in computer vision fundamentals: CNNs ViTs feature pyramids multi-scale processing.
• Experience fine-tuning large vision and generative models at scale.
• Proficiency with distributed training frameworks (DDP FSDP DeepSpeed Megatron-LM).
• Solid grasp of probabilistic ML variational inference and information theory.
• Experience with MLOps tooling (Weights & Biases MLflow DVC or equivalent).
• Track record of shipping ML models to production at scale.
• Excellent written and verbal communication skills with cross-functional stakeholders.

Preferred Qualifications

• Experience withflow-based generative models(normalizing flows CNFs Rectified Flow Flow Matching).
• Experience withvideo generation models(Sora-style architectures CogVideo AnimateDiff SVD).
• Familiarity with3D generative models(NeRF 3D Gaussian Splatting Zero-1-to-3 Point-E).
• Background inmultimodal systems(LLMs vision: GPT-4V LLaVA InstructBLIP-style architectures).
• Experience with RLHF / DPO for generative model alignment and preference optimization.
• Active open-source contributions maintained repos significant PRs to projects like HuggingFace Diffusers CompVis timm or similar.
• Active GitHub presence demonstrating ongoing engagement with the ML community.

Equal Opportunity Statement

Adobe is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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