Senior Machine Learning Engineer, Recommendations (Experience)
Tasks
- Build and ship production ML systems
- Build reliable scalable solutions with distributed systems
- Contribute to technical strategy and team best practices
- Debug data pipelines ML models and distributed systems
- Design end-to-end ML pipelines
- Develop ML and LLM systems for real users
- Implement monitoring A B testing and metrics
- Make architecture decisions for cost latency and maintainability
Perks/Benefits
- Creativity and Wellness benefits
- Employee equity plan
- Flexible vacation policy
- Free German courses
- Gym membership
- Professional development allowance
- Relocation support
- Remote work flexibility
- Snacks and free lunches
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | B testing | BigQuery | Bigtable | Data Pipelines | Docker | DynamoDB | ETL | GCP | Java | Kubernetes | Language Models | Large Language Models | Machine Learning | Monitoring | PyTorch | Python | Real Time | Real-time Serving | Retrieval-Augmented Generation | SQL | Scala | Spark | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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