Senior Machine Learning Engineer, Search & Recommendations
Tasks
- Apply causal inference and uplift modeling
- Architect ranking systems
- Build multi task learning models
- Collaborate on ranking strategy and outcomes
- Develop value aware optimization models
- Improve personalized search and retrieval
- Maintain ranking pipelines
- Mentor ML engineers
- Optimize low latency ML systems
- Run online experiments and AB testing
Perks/Benefits
- Dental insurance
- Health insurance
- Holidays
- Learning resources
- Paid time off
- Parental leave
- Remote-first flexibility
- Vision insurance
- Work-life balance support
Skills/Tech-stack
A/B | A/B Testing | B testing | Caching | Causal Inference | Contextual Bandits | Counterfactual evaluation | Feature Pipelines | Gradient boosting | Inference Optimization | LLM | Low Latency | Low-Latency Systems | MMoE | Machine Learning | Multi-Objective Optimization | Multi-task Learning | Objective optimization | Online Experimentation | PLE | Pandas | Personalization | PyTorch | Python | Ranking Systems | Recommendation Systems | Retrieval systems | SQL | TensorFlow | Uplift Modeling | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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