Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe

Quick summary

Work type
On-site
Location
San Jose · Seattle, WA
Salary
$238,700–$345,650 / yr
Posted
36 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $292k
$151k most similar roles pay here $367k

This role pays more than 93% of similar roles. Most pay $185,000–$249,750 — the shaded band above. At the midpoint, this role pays about $292k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 339 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 339 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe Firefly’s Generative AI Services team is looking for a Senior Machine Learning Engineer to join their cutting-edge GenAI Services area, where you will design and develop core generative models and APIs that integrate seamlessly into Adobe’s flagship products. You’ll collaborate closely with Adobe Research and other model developer teams to optimize GPU-accelerated pipelines for both training and inference, ensuring high performance, scalability, and reliability. Ideal candidates have extensive experience in machine learning, particularly with production-scale deployments of large-scale, GPU-intensive systems. Proficiency in PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, Python, and a deep understanding of generative model architectures like diffusion models, transformers, and GANs are essential. Additional preferred skills include expertise in Kubernetes, distributed systems, MLOps platforms, and experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.

What you'll do

  • Design and develop core generative AI services and APIs for Adobe’s products.
  • Build GPU-accelerated pipelines for model training and inference, focusing on performance.
  • Optimize large-scale, GPU-intensive systems for generative AI training and inference.
  • Collaborate with Adobe Research to productize generative models using advanced frameworks.
  • Mentor other machine learning engineers and set technical direction within the team.

What we're looking for

  • 10+ years of experience in machine learning with production-scale deployments.
  • 3+ years of experience leading GPU-intensive GenAI systems for training, inference, and optimization.
  • Expertise in PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
  • Deep understanding of generative model architectures like diffusion models, transformers, and GANs.
  • Strong communication and leadership skills with a track record of driving alignment in matrixed organizations.

More like this

Similar roles

Machine Learning Engineer, Firefly Services

Adobe

Seattle 38 days ago $161,700$234,150
PyTorch CUDA Triton TensorRT Nvidia Dynamo Python diffusion models transformers GANs Kubernetes MLOps CI/CD Prometheus Grafana AWS Google Cloud Azure

Principal Service Engineer, Adobe Firefly

Adobe

San Jose 82 days ago $261,800$379,100
Kubernetes MLOps DevOps Docker CI/CD Python Java Go PostgreSQL AWS Azure Google Cloud Platform TensorFlow PyTorch Diffusion Models Transformers GANs GitLab Jenkins