Machine Learning Engineer
Adobe
Quick summary
Market check
How this pay compares to similar roles
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
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.
Most-posted roles
At a glance
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.
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