Staff Machine Learning Engineer
Tasks
- Define paved paths for safe model shipping
- Drive engineering quality through code reviews and mentorship
- Implement monitoring and rollback for deployments
- Improve model deployment and experimentation workflows
- Lead design and delivery of platform initiatives
- Leverage AI augmented development tools
- Optimize GPU utilization for training and inference
- Own ML platform technical direction
- Resolve online offline feature parity issues
- Translate ML strategy into technical roadmaps
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Canary Deployment | Capacity Planning | Consistency | Data Modeling | Data Query | Data query language | Distributed Systems | Experimentation platform | Fault Tolerance | Feature Store | Flink | GPU capacity | GPU capacity planning | Go | Inference Optimization | Java | Kafka | Kotlin | Kubernetes | LLM Inference | Latency | Model Hosting | Model Serving | Observability | Offline data | Online Offline Data | Python | Query Language | Scala | Spark Streaming | Throughput | Training pipelines
Education
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