Machine Learning Engineer

Adobe

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
San Jose, CASeattle, WA
Salary
$183,300–$265,350 / yr
Posted
165 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k
This role $224k
$168k most similar roles pay here $289k

This role pays more than 50% of similar roles. Most pay $195,000–$254,750 — the shaded band above. At the midpoint, this role pays about $224k versus about $225k 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 · Machine Learning Engineer

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 senior 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. Required technical skills include 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. The role focuses on the core engineering challenges of productizing generative models and managing GPU resources within large-scale environments to solve complex technical hurdles at the forefront of the industry.

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 low latency and high throughput.
  • Build and optimize GPU-accelerated pipelines for both customized model training and inference.
  • Integrate first-party and third-party generative models into the Adobe product suite.
  • Partner with research teams to develop inference strategies and productionize new 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.
  • 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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