Senior Machine Learning Engineer, AI Platform at Adobe

Department: Engineering and Product

Compensation

$172,500 – $306,625/yr

Setup: On-site
Location: San Jose, California
Type: Full-time
Level: staff+
Posted: Sep 11, 2026

Description

Adobe is hiring a Staff Machine Learning Platform Engineer to own the architecture and roadmap of its shared compute and inference platform. The role focuses on large GPU fleet utilization, distributed training and low-latency, high-throughput inference, model packaging and production deployment, multi-tenancy, elasticity, reliability, observability, and technical leadership. Candidates need at least seven years of experience building large-scale platform or distributed systems, expertise in Kubernetes and cloud infrastructure, and programming ability in Python plus a systems language. The U.S. base salary range is $172,500 to $306,625 annually.

Required Skills

Distributed systems
Kubernetes
Python
GPU scheduling
Model serving
Reliability
Observability

Additional Information

Required Previous Experiences: 7+ years building and operating large-scale platform, infrastructure, or distributed systems in production
Designing systems used by other engineers and taking them from design to production at scale
Preferred Qualifications: GPU or accelerator scheduling, performance tuning, or fleet management
Familiarity with ML framework internals, distributed training, or modern inference stacks
Operating ML or data infrastructure at the scale of a major ML-driven product organization