Senior Machine Learning Engineer
Adobe · San Jose, CA · Engineering and Product
About this role
Adobe is hiring a senior-level Machine Learning Engineer based in San Jose, CA. The posting calls out experience with Python, Java, HTML/CSS, AWS. Compensation is listed at $151,800–$265,350 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Engineering and Product
- Posted
- May 18, 2026
More roles at Adobe
Job description
from Adobe careersSenior Machine Learning Engineer
Agent Platform — Adobe Experience Platform
THE OPPORTUNITY
Build the Agent Platform That Powers Enterprise AI
Adobe Experience Platform powers personalized experiences for the world's largest brands. Our AI team is building a production-grade platform for autonomous AI agents — not a wrapper around an LLM API, but a full agent runtime with sub-second orchestration, tool and skill layers spanning thousands of endpoints, long-term memory, sandboxed execution, and a multi-tenant Agent-Ops stack, all runtime-swappable across providers.
We're hiring Senior ML Engineers to own major components end-to-end. You'll work at the intersection of applied ML and systems engineering, and your decisions will shape a system that serves Fortune 500 marketing teams.
Multiple roles, one team: The team is growing fast to match the scale of what we’re building — we’re actively hiring multiple Senior ML Engineers across the focus areas described below. We’ll match your strengths to the right domain during the interview process.
WHAT YOU’LL DO
Your Impact
You'll spend most of your time building platform infrastructure, with regular exposure to customer needs that shapes what you build.
Build core agent infrastructure. Own major components of the platform — the agent runtime, tool execution layer, memory systems, sandboxed execution, or control plane — and ship production-ready code against real constraints: sub-second orchestration latency, cost-aware model routing, and high-throughput inference pipelines.
This is an excerpt. Read the full job description on Adobe careers →