Senior Machine Learning Engineer, AI Platform
Tasks
- Collaborate with product infrastructure security and data teams
- Design and manage GPU inference and training workloads
- Design scalable platform capabilities for AI features
- Design train deploy and serve machine learning models in production
- Implement observability with metrics logging tracing and alerting
- Improve model lifecycle packaging versioning testing and deployment automation
- Optimize inference throughput latency and cost
- Own model serving and inference workflows
- Participate in technical design discussions and mentor engineers
- Support incident response on call and post incident reviews
Perks/Benefits
- Birthday time off
- Country specific holidays
- Home office stipend
- Medical, dental, and vision coverage
- Paid parental leave
- Professional development budget
- Retirement contributions
- Wellbeing stipend
- Wellness days
Skills/Tech-stack
Alerting | Batching | CI/CD | CPU | Capacity Planning | Cloud Computing | Data Processing | Deployment Automation | Distributed Systems | Docker | GPU | Inference | Inference Pipelines | Kubernetes | Logging | Machine Learning | Metrics | Model Conversion | Model Packaging | Model Serving | Model Validation | Model versioning | Observability | Performance Tuning | Python | Quantization | Resource utilization | Tracing
Education
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