Senior Software Engineer, ML Platform
San Francisco, CA, United States
A USD 200K-250K (estimate) Senior-level Full Time
Tasks
- Build alerting dashboards observability
- Build libraries pipelines templates SDKs CLIs
- Build real time model serving infrastructure
- Create feature definition training evaluation deployment monitoring abstractions
- Design high throughput offline online consistent semantics
- Drive incident response postmortems reliability improvements
- Instrument training and inference for latency throughput accuracy drift data quality cost
- Own and evolve ML platform end to end
- Own and improve feature store offline and online definitions
- Scale batch ML inference scheduling parallelism cost controls observability failure handling rollback
- Support production underwriting batch and real time workflows
- Turn notebooks into production components
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon Kinesis | Apache Airflow | Apache Spark | B testing | Backpressure | Batch Processing | Caching | Canary Releases | Databricks | Drift Detection | Feature Engineering | Feature Store | Kafka | Low Latency | Low latency architecture | MLflow | Model Evaluation | Model Serving | Probability | PySpark | Python | Rate Limiting | SQL | Shadow Deployment | Statistics | Streaming | Supervised Learning | Unsupervised Learning
Education
N/A
Regions
Countries
States
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