Adobe Media and Data Science Research (MDSR) Laboratory
San Jose, California, US
$151,800 -- $265,350 annually; not specified; not ...
Mlops/devops/ml platform engineering
Cloud infrastructure (aws/gcp/azure)
Kubernetes and iac (terraform, helm)
This role is foundational in ensuring our AI systems operate seamlessly across environments while meeting the needs of both developers and end users
Job Summary
This role is foundational in ensuring our AI systems operate seamlessly across environments while meeting the needs of both developers and end users.
You will lead efforts to automate and optimize the full machine learning lifecycle—from data pipelines and model deployment to monitoring, governance, and incident response.
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.
Matching Summary
This role is foundational in ensuring our AI systems operate seamlessly across environments while meeting the needs of both developers and end users.
Salary
$151,800 -- $265,350 annually; Not specified; Not specified
Skills & Requirements
Must-have
MLOps/DevOps/ML platform engineering
Cloud infrastructure (AWS/GCP/Azure)
Kubernetes and IaC (Terraform, Helm)
ML model serving tools
Python and CI/CD automation
Monitoring tools (Prometheus, Grafana, Datadog)
Nice-to-have
LLM applications and RAG pipelines
Vector databases and embedding workflows
Responsible AI principles
AI agent orchestration
Key Requirements
3-5+ years in MLOps, DevOps, or ML platform engineering
Bachelor's or equivalent experience in Computer Science, Engineering, or related technical field