Applied AIML -Executive Director
New York, NY, United States
USD 135K-202K (estimate) Executive-level Full Time
Tasks
- Apply NLP and search and retrieval techniques
- Contribute to architecture and critical code paths
- Develop evaluation frameworks for ranking and personalization
- Guide low latency services feature pipelines training and inference
- Improve data quality and feedback loops
- Introduce experimentation best practices and documentation
- Lead and coach applied scientists and ML engineers
- Lead end to end machine learning delivery
- Monitor models in production
- Own recommendation and personalization platforms
- Partner with product design data risk controls and engineering
- Use GenAI to augment recommendation stack
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | Algorithms | Apache Spark | B testing | Bias Mitigation | Bias/fairness | Calibration | Causal Inference | Data Drift | Data Drift Detection | Data Structures | Databases | Distributed Systems | Drift Detection | Embeddings | Explainability | Fairness | Feature Stores | GenAI | Information Retrieval | Java | Language Models | Language Processing | Large Language Models | Learning-to-Rank | Low Latency | ML observability | Machine Learning | Model Drift | Model Drift Detection | Natural Language | Natural Language Processing | Personalization | Python | Ranking | Recommendation Systems | Scala | Search | Streaming Data | Vector Search
Education
Regions
Countries
States
Cities
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