Senior Staff Machine Learning Engineer

Adobe

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Seattle, WASan Jose, CA
Salary: $238,700–$345,650 / yr
Posted: 51 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $233k

This role $292k

$165k most similar roles pay here $365k

This role pays more than 91% of similar roles. Most pay $210,556–$254,750 — the shaded band above. At the midpoint, this role pays about $292k versus about $233k 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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

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At a glance

TL;DR · Senior Staff Machine Learning Engineer

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Sr Staff Machine Learning Engineer, Adobe Firefly Services joins the Generative AI Services team to build scalable, high-performance generative AI systems for products like Photoshop and Illustrator. This role involves designing and developing efficient inference pipelines, optimizing models for latency and throughput, and building APIs that integrate first-party and third-party generative models into the product suite. The engineer will develop ML workflows for enterprise-scale model customization and build GPU-accelerated pipelines for training and inference. Key technical requirements include proficiency in Python, PyTorch, CUDA, Triton, TensorRT, and Nvidia Dynamo, alongside a deep understanding of diffusion models, transformers, and GANs. Candidates should also possess expertise in Kubernetes, distributed systems, and MLOps platforms to solve complex engineering challenges at the forefront of the industry while mentoring other engineers and setting technical direction for the organization.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 66 postings across 14 companies.

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Skills

Python PyTorch CUDA Triton TensorRT Nvidia Dynamo Kubernetes MLOps Distributed Systems Diffusion Models Transformers GANs Inference Pipelines

What you'll do

Design and develop core generative AI services and APIs for Adobe's flagship products.
Build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
Develop and optimize GPU-accelerated pipelines for both model training and inference.
Improve model performance by optimizing for latency and throughput at inference.
Partner with research teams to develop inference strategies and productize generative models.
Set technical direction and mentor other machine learning engineers within the organization.

What we're looking for

MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
10+ years of experience in machine learning, including production-scale deployments.
3+ years of experience leading large-scale, GPU-intensive GenAI systems for training, inference, and optimization.
Proficiency with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
Strong understanding of generative model architectures including diffusion models, transformers, and GANs.
Proven communication and leadership skills to drive alignment in matrixed organizations.
Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.

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