Adobe · 3 hours ago
Machine Learning Ops Engineer, Brand Concierge
San Jose, CA
Full-time
Onsite
Mid, Senior Level
$152K/yr - $265K/yr
3+ years expAdobe is a company focused on changing the world through digital experiences. They are seeking a skilled Machine Learning Ops Engineer to drive the operational reliability, scalability, and performance of their AI systems, managing the full machine learning lifecycle and ensuring seamless operation across environments.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Manage model versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks for LLM agents and RAG systems
Coordinate model registries, artifacts, and promotion workflows in collaboration with ML Engineers
Implement real-time monitoring of model performance (accuracy, latency, drift, degradation)
Track conversation quality metrics and user feedback loops for production agents
Develop automated pipelines for timely/agent testing, validation, and deployment
Integrate unit/integration tests into model and workflow updates for safe rollouts
Provision and manage scalable infrastructure (Kubernetes, Terraform, serverless stacks)
Enable auto-scaling, resource optimization, and load balancing for AI workloads
Craft and maintain data ingestion pipelines for both structured and unstructured sources
Ensure reliable feature extraction, transformation, and data validation workflows
Monitor and optimize AI stack performance (model latency, API efficiency, GPU/compute utilization)
Drive cost-aware engineering across inference, retrieval, and orchestration layers
Build alerting and triage systems to identify and resolve production issues
Maintain SLAs and develop rollback/recovery strategies for AI services
Enforce model governance, audit trails, and explainability standards
Support documentation and regulatory frameworks (e.g., GDPR, SOC 2, internal policy alignment)
Qualification
Required
3–5+ years in MLOps, DevOps, or ML platform engineering
Strong experience with cloud infrastructure (AWS/GCP/Azure), container orchestration (Kubernetes), and IaC tools (Terraform, Helm)
Familiarity with ML model serving tools (e.g., MLflow, Seldon, TorchServe, BentoML)
Proficiency in Python and CI/CD automation (e.g., GitHub Actions, Jenkins, Argo Workflows)
Experience with monitoring tools (Prometheus, Grafana, Datadog, ELK, Arize AI, etc.)
Preferred
Experience supporting LLM applications, RAG pipelines, or AI agent orchestration
Understanding of vector databases, embedding workflows, and model retraining triggers
Exposure to privacy, safety, and responsible AI principles in operational contexts
Bachelor's or equivalent experience in Computer Science, Engineering, or a related technical field
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
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