Senior Machine Learning Engineer

Adobe

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
San Jose, CASeattle, WASan Francisco, CA
Salary
$183,300–$265,350 / yr
Posted
43 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $232k
This role $224k
$171k most similar roles pay here $299k

This role pays less than 59% of similar roles. Most pay $209,918–$254,750 — the shaded band above. At the midpoint, this role pays about $224k versus about $232k 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 Machine Learning Engineer

Sr 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 skills in Kubernetes, distributed systems, and MLOps platforms to manage large-scale environments. The role focuses on the technical challenge of productizing complex generative model architectures into reliable, high-performance production services for diverse users.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

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 efficient inference pipelines to optimize models for latency and throughput.
  • Build and optimize GPU-accelerated pipelines for both custom model training and inference.
  • Integrate first-party and third-party generative models into the Adobe product suite.
  • Collaborate with research teams on model inference strategies and productionalization.
  • Set technical direction and mentor other machine learning engineers.

What we're looking for

  • MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
  • 4-7+ years of experience in machine learning, including production-scale deployments.
  • 2+ 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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