Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Tasks
- Build experiment tracking and metadata management systems
- Create automated workflows for model promotion rollback and evaluation
- Design and build large scale offline ML experimentation platforms
- Develop agentic AI execution platforms for autonomous and human in the loop workflows
- Develop production training orchestration frameworks
- Implement model registries and artifact versioning
- Orchestrate multi agent workflows and manage memory and context systems
Perks/Benefits
- 401k employer match
- Comprehensive healthcare benefits
- Family planning support
- Flexible vacation
- Gender-affirming care
- Generous paid parental leave
- Global benefit programs
- Income replacement programs
- Mental health and coaching benefits
- Paid volunteer time off
Skills/Tech-stack
Agent Orchestration | Agentic AI | Apache Airflow | Argo Workflows | Artifact versioning | Automated retraining | Distributed Systems | Distributed Training | Experiment tracking | Flink | Hyperparameter Optimization | Kubeflow | Kubernetes | Lineage | ML Experimentation | Machine Learning | Metadata Management | Model Evaluation | Model Registry | Multi-Agent | Multi-agent orchestration | Offline ML Experimentation | Ray | Reproducibility | Spark | Training orchestration | Workflow Orchestration
Education
N/A
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