Senior Principal Software Engineer, Machine Learning
Tasks
- Contribute production code
- Define paved paths for model shipping
- Implement canary rollout monitoring and rollback
- Increase development velocity using AI tools
- Lead design and delivery of ML platform initiatives
- Lead design reviews
- Mentor ML platform engineers
- Own ML platform technical direction
- Partner to translate ML strategy into roadmaps
- Resolve systemic technical challenges
- Set and maintain engineering quality bar
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Canary Deployment | Capacity Planning | Data Modeling | Distributed Systems | Experimentation platform | Fault Tolerance | Feature Parity | Feature Store | Flink | GPU capacity | GPU capacity planning | Inference Optimization | Java | Kafka | Kotlin | LLM Inference | Latency | Model Deployment | Model Serving | Monitoring | Observability | Online Offline Feature Parity | Rollback | SQL | Spark Streaming | Throughput | Training pipelines
Education
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