Senior Machine Learning Engineer
Tasks
- Build distributed systems
- Collaborate on modular platform components
- Create APIs for recommendations
- Deploy and monitor ML workflows
- Design machine learning platforms
- Develop feature store services
- Develop real-time inference services
- Develop vector databases
- Enhance ML platform ecosystem
- Monitor platform metrics
- Onboard mentor team members
- Optimize model deployment
- Optimize recommendation system performance
- Run online A/B tests
Perks/Benefits
- Disability benefits
- Equity awards
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
AB Testing | AWS SageMaker | Airflow | Amazon S3 | Apache Flink | Apache Kafka | Apache Spark | Distributed Systems | Feature Store | Huggingface | Java | Kotlin | Machine Learning | PyTorch | Python | Ray | Real Time | Real-time Inference | Scala | Vector Databases
Education
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