Hiring: Senior Applied Scientist / Engineer, Training & Inference Company: Adobe Location: San Jose, CA Job Posted Time: 2026-09-17 09:29:12 Target Skills & Keywords : Diffusion Models, Machine Learning, Node.js, PyTorch, Python, TensorRT, vLLM About the job Experience: •Operational familiarity with inference serving frameworks such as TensorRT, vLLM, or equivalent. •Track record of shipping generative AI models to production at scale. •Prior work in an applied research environment bridging ML and systems engineering. Required Skills: •Adobe Applied Science & Machine Learning (ASML) is seeking a Senior Applied Scientist / Engineer, Training & Inference to play a critical role in closing the gap between research and production for Adobe's next-generation video and image foundation models. •This role is ideal for those who excels at the full arc of model development — distributed training at scale, inference optimization, and the practical engineering required to deploy and operate models reliably in production. •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. •Implement and operate distributed training strategies including PyTorch FSDP, Tensor Parallelism, and Pipeline Parallelism across multi-node GPU environments, ensuring correctness, stability, and scalability for large video and multimodal models. •Design and optimize inference and serving systems for large generative models, with a focus on latency, throughput, and cost across deployment targets. •Reduce the gap between trained model checkpoints and reliable production deployments — owning the practical work of hardening, validating, and operationalizing models at scale. •Identify and address inefficiencies across the training and inference stack — memory, communication, scheduling, and execution orchestration — with a clear focus on GPU efficiency and cost targets. •Collaboration with Research & Engineering Teams. Compensation: •$164,000 - $313,300 / year •In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!