Senior Machine Learning Engineer
Adobe
At a glance
AI generatedAs a Senior Machine Learning Engineer on the Agent Platform team at Adobe Experience Platform, you will play a pivotal role in building a production-grade platform for autonomous AI agents. Your responsibilities include designing and implementing core infrastructure components such as agent runtime, tool execution layers, memory systems, and sandboxed execution environments. You will also develop ML workflows that enable model customization and lifecycle management at enterprise scale. Additionally, you will engage with customers to gather feedback and refine the platform's roadmap. Ideal candidates have a Ph.D. or M.S. in Computer Science, 5+ years of experience building production ML systems, proficiency in Python or Java, and hands-on experience with deep learning frameworks like PyTorch or TensorFlow. You should also be familiar with cloud platforms and data infrastructure tools, and possess strong software engineering fundamentals and communication skills.
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How this pay compares to similar roles
This role pays more than 67% of similar roles. Most pay $164,613–$238,250 — the shaded band above. At the midpoint, this role pays about $224k versus about $201k 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 310 open roles on FindRole.
Listed pay typically runs $185,350–$268,375 across 310 roles with salary data.
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