Senior Machine Learning Engineer, Recommendations (Experience)
Tasks
- Architect data pipelines and feature engineering
- Build and serve production machine learning systems
- Debug issues across data pipelines and distributed systems
- Design and optimize models for performance and cost
- Develop and productionize machine learning models
- Develop monitoring and A B testing frameworks
- Implement real time serving infrastructure
- Lead documentation code reviews and mentoring
- Write technical RFCs and communicate trade offs
Perks/Benefits
- 401k
- Dental insurance
- Employee equity plan
- Flexible vacation
- Gym membership
- Health benefits
- Mental health resources
- Paid parental leave
- Professional development allowance
- Snacks and free lunches
- Vision insurance
- Work from home flexibility
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | B testing | BigQuery | Bigtable | Distributed Systems | Docker | ETL | Feature Engineering | GCP | Kubernetes | Machine Learning | PyTorch | Python | Real Time | Real-time Serving | SQL | Scala | Spark | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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