Senior Applied Scientist, Training & Inference

Adobe Inc.; San Jose (CA); On-site; USD 216,000 - 313,000; Full time

Job summary

Adobe Applied Science & ML (ASML) seeks a Senior Applied Scientist/Engineer for Training & Inference to bridge research and production for foundation models. You will own the training-to-deployment pipeline, optimize distributed training, and design efficient inference for large video and multimodal models.

You'll collaborate with researchers, ML engineers, and infrastructure teams to deliver reliable, scalable systems at production scale, balancing performance, cost, and usability across

Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering, AI/ML, or related field, or equivalent practical experience.

Responsibilities

• Own key components of the training-to-deployment pipeline – from distributed training execution through inference optimization, serving, and production handoff – ensuring models are delivered reliably, performantly, and cost‑efficiently.

Skills

Distributed Training

Inference Deployment

Python

PyTorch

GPU Clusters

Production ML Systems

Cross-team Collaboration

Education

Master's or PhD in CS/EE/AI or related field

Tools

PyTorch FSDP

Tensor Parallelism

Pipeline Parallelism

TensorRT

vLLM

Job description

Adobe Applied Science & ML (ASML) seeks a Senior Applied Scientist/Engineer for Training & Inference to bridge research and production for foundation models. You will own the training-to-deployment pipeline, optimize distributed training, and design efficient inference for large video and multimodal models.

You'll collaborate with researchers, ML engineers, and infrastructure teams to deliver reliable, scalable systems at production scale, balancing performance, cost, and usability across