Senior Machine Learning Engineer

Adobe, San Jose

What you will do

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.
Design ML workflows at enterprise scale. Build the systems for model customization, serving, and lifecycle management that let the platform adapt to diverse customer workloads.
Innovate, don't just build. You'll have room to explore new approaches to agent reasoning, tool orchestration, memory, or evaluation — and carry the best ideas from experiment to production. We value engineers who push the platform forward with original thinking, not just execute on a spec.
Close the loop with customers. Join regular customer engagements to see how your systems perform in real deployments, then feed those insights back into the platform roadmap. This isn't a customer-facing role, but your work is directly shaped by the people who use it.

Adobe, San Jose

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.
Design ML workflows at enterprise scale. Build the systems for model customization, serving, and lifecycle management that let the platform adapt to diverse customer workloads.
Innovate, don't just build. You'll have room to explore new approaches to agent reasoning, tool orchestration, memory, or evaluation — and carry the best ideas from experiment to production. We value engineers who push the platform forward with original thinking, not just execute on a spec.
Close the loop with customers. Join regular customer engagements to see how your systems perform in real deployments, then feed those insights back into the platform roadmap. This isn't a customer-facing role, but your work is directly shaped by the people who use it.