Senior Algorithm Engineer, Recommendations
Tasks
- Analyze user engagement data
- Build candidate generation and ranking systems
- Collaborate with product, engineering, and business teams
- Contribute to technical design and code reviews
- Design deep learning recommendation models
- Mentor junior engineers
- Model user intent
- Monitor and optimize model performance
- Own machine learning lifecycle
- Predict CTR and CVR
- Run A/B testing
- Serve low latency high throughput traffic
- Train and deploy recommendation models
Perks/Benefits
- Comprehensive benefits
- Fully stocked kitchen
- Hybrid work schedule
- Location-specific perks
- Well-being programs
Skills/Tech-stack
A/B | A/B Testing | B testing | Deep learning | Embeddings | High Throughput | High-Throughput Systems | Java | Low Latency | Low-Latency Systems | Machine Learning | Monitoring | Optimization | Personalization | Python | Ranking | Recommendation Systems | Retrieval | Sequence Models | Statistical modeling | Transformers | Two Tower Models | Two-Tower
Education
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