- Boston, Massachusetts, United States
Lead applied machine learning work on recommendation systems for enterprise customers, owning end-to-end model development, evaluation, and deployment.
Compensation
Competitive base salary with equity in a unicorn-stage company
Responsibilities
- Own customer recommendation system engagements end-to-end
- Translate customer requirements into concrete specifications for recommendation models
- Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale
- Fine-tune and adapt large-scale sequential recommendation models for customer-specific use cases
- Design task-specific evaluations for recommendation model performance and interpret results
Requirements
- Nice to have: transformer-based recommendation architectures
- Nice to have: external customer delivery
- Nice to have: serving recommendation models under latency and throughput constraints