Principal Machine Learning Engineer
USA - CA - 1200 Grand Central Ave, United States
USD 207K-278K Senior-level Full Time
Tasks
- Build data pipelines and orchestration
- Connect ML metrics to business outcomes
- Define ML platform architecture
- Design ML lifecycle infrastructure
- Drive observability and continuous improvement
- Implement low latency online serving
- Lead ML workstream prioritization
- Manage feature stores and batch training
- Mentor engineers and drive culture
- Own production incidents and reliability
- Set engineering standards across teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS SageMaker | Agile | Amazon Personalize | Apache Kafka | Apache Spark | Batch Training | Data Engineering | Data Pipelines | Databricks | Deep learning | Feature Stores | Fine Tuning | Glue | Incident Response | Kinesis | LLMs | Lambda | Low Latency | Low-Latency Systems | MLOps | MLflow | Machine Learning | Microservices | Object Detection | Observability | Online Serving | Operational excellence | Prompt engineering | RAG | REST | Recommendation Systems | Reliability Engineering | SNS | SQS | Scrum | Statistical Methods | Step Functions | Vertex AI | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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