Senior Machine Learning Engineer, Recommendations (Experience)
Tasks
- Architect data pipelines and feature engineering
- Build model training and serving infrastructure
- Collaborate with product and engineering stakeholders
- Create documentation code reviews and mentoring
- Debug issues across data pipelines ML models and distributed systems
- Deploy ML features via APIs and real time serving
- Design monitoring A B testing and metrics
- Develop and productionize ML models
- Write scalable maintainable code in Scala and Python
- Write technical RFCs and communicate tradeoffs
Perks/Benefits
- Creativity and wellness benefit
- Employee equity plan
- Flexible vacation
- Free language courses
- Free lunches weekly
- Gym membership
- Professional development allowance
- Relocation support
- Snacks and goodies
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Apache Spark | B testing | BigQuery | Bigtable | Cloud platform | Data Pipelines | Distributed Systems | Docker | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Kubernetes | Machine Learning | Model Training | PyTorch | Python | Real Time | Real-time Serving | SQL | Scala | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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