Principal Machine Learning Engineer
USA - CA - 1200 Grand Central Ave, United States
USD 207K-278K Senior-level Full Time
Tasks
- Define machine learning platform architecture
- Design data pipelines and workflow orchestration
- Drive adoption of new machine learning and data engineering technologies
- Drive personalization and recommendation systems improvements
- Manage feature stores batch training and low latency serving
- Mentor engineers and set engineering standards
- Own machine learning platform reliability observability and incident response
- Prioritize machine learning workstreams with metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Personalize | AWS SNS | AWS SQS | AWS Step Functions | Agile | Amazon Kinesis | Amazon SageMaker | Apache Kafka | Apache Spark | Autogen | Batch Training | Continuous Improvement | CrewAI | Data Pipelines | Databricks | Deep learning | Distributed Systems | Feature Stores | Fine Tuning | Incident Response | Langgraph | Language Models | Language Processing | Large Language Models | Low Latency | Low-latency serving | MLOps | MLflow | Machine Learning | Microservices | Natural Language | Natural Language Processing | Object Detection | Observability | Prompt engineering | RAG | REST | Recommendation Systems | Reliability Engineering | Scrum | Statistical Methods | Step Functions | Vertex AI | Workflow Orchestration
Education
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