Machine Learning Engineer
Adobe
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 71% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $198k versus about $223k 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
As a Machine Learning Engineer on the Search, Discovery, and Content AI Team, you will develop pioneering machine learning algorithms to power search, recommendations, and generative AI-based guidance for Adobe Cloud products. You will build novel models using deep learning, reinforcement learning, content understanding, and language understanding to improve content ranking and discovery across billions of assets like images and documents. Your daily work involves building machine learning services to host models using REST web services, microservices, and frameworks such as PyTorch, TensorFlow, and LLMs. The role requires proficiency in Python, Java, or C, along with experience in tools like SGLang, Verl, and scikit learn. You will solve complex problems involving computer vision and statistical modeling to help creative professionals and novice users discover digital assets across various Adobe product lines.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Skills
What you'll do
What we're looking for
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