Machine Learning Engineer
Adobe
At a glance
AI generatedAs a Senior Machine Learning Engineer at Adobe, you will join the AEP Agent Orchestrator team to design and develop state-of-the-art agentic AI systems and platforms that integrate generative AI with enterprise applications. Your responsibilities include defining APIs, integrating UIs, deploying cloud services, and implementing ML- and LLM-Ops best practices. You will collaborate closely with researchers and applied scientists to productize innovations and engage in the full lifecycle of these projects from design through production operations. The role requires a PhD or MS degree in Computer Science, 5+ years of experience in machine learning, proficiency in Python or Java, and familiarity with cloud platforms like Azure and AWS. Additionally, you should have hands-on experience with deep learning frameworks such as TensorFlow or PyTorch, LLMs including prompt engineering, and working knowledge of relational and NoSQL datastores.
Skills
What you'll do
What we're looking for
Market check
This $183,300–$265,350 range sits above 59% of similar postings on FindRole.
Peer median band
$161,800–$255,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$174,050–$250,000
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
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 290 open roles on FindRole.
Listed pay typically runs $183,300–$265,350 across 290 roles with salary data.
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