Software Engineer, Machine Learning Platform
Tasks
- Build and maintain infrastructure as code
- Build and operate model training systems
- Design scalable ML infrastructure
- Develop data ingestion and streaming systems
- Develop distributed training and batch processing systems
- Enhance observability and reliability
- Improve ML CI CD workflows
- Optimize ML workload cost visibility
- Participate in on-call rotations
- Support feature store and feature pipelines
- Support real-time inference systems
Perks/Benefits
- 401k match
- Child elder pet care backup
- Commuter benefit
- Disability insurance
- Life insurance
- Medical, dental & vision coverage
- Paid parental leave
- Paid time off
- Wellness stipend
Skills/Tech-stack
AWS | Amazon Kinesis | Apache Flink | Apache Kafka | Apache Spark | CI/CD | CUDA | CloudFormation | Code review | Data Preprocessing | Docker | Feature Store | GPU Programming | Go | Infrastructure as Code | Java | Kubernetes | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Observability | Python | Ray | Scala | Spark Streaming | Terraform | Testing | Version control | “as-code”
Education
N/A
Regions
Countries
States
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