Senior Manager, Machine Learning Engineering
Seattle, Washington, United States
USD 200K-250K Senior-level Full Time
Tasks
- Automate data annotation workflows
- Build ML data pipelines for personalization and targeted advertising
- Build data engineering pipelines
- Build scalable compliant auditable data infrastructure
- Define technical direction and grow ML infrastructure team
- Deploy low latency inference services
- Develop agentic AI large language model solutions for workflow automation
- Ensure model availability and observability
- Lead machine learning technical vision and execution
- Maintain feature stores
- Maintain model registries
- Manage distributed training infrastructure
- Manage technical programs and communicate progress
- Own MLOps lifecycle
- Partner with vendors and annotation platform providers
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Cloud Native | Cloud-Native Storage | Computer Vision | Data Annotation | Data Governance | Distributed Training | ETL | Feature Store | Image Segmentation | Kafka | Language Models | Large Language Models | Low Latency | Low Latency Inference | MLOps | Machine Learning | Model Registry | Object Detection | Object Tracking | Observability | PyTorch | Python | SQL | TensorFlow | Vision Language Models | Vision-language
Education
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