Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning)
Core
Design and develop state-of-the-art recommender systems using transformers, LLMs, and reinforcement learning to power personalized experiences across marketing, customer servicing, and digital products for millions of customers.
Role type
Manager, Data Scientist (Advanced Recommenders & Personalization)
Builds
Large-scale reinforcement learning based recommender systems and arbitration engines for Mobile, Web, and Email.
Domain
Financial Services / Machine Learning / Reinforcement Learning
Deliverable
production ML models
Required skills
Transformers, Large Language Models (LLMs), Reinforcement Learning, Sequence Modeling, Multi-modal Learning, Contextual Multi-Armed Bandits, Foundation Model Fine-tuning, Evaluation Frameworks, Distributed Training, Python, PyTorch, TensorFlow, Relational Databases, Statistical Modeling
Preferred skills
AWS, Scala, R, Generative Recommendations, Conversational Systems, Cross-domain Personalization
Responsibilities
Design and develop state-of-the-art recommender systems; Advance personalization through sequence modeling and contextual decision-making; Build and fine-tune foundation models; Apply reinforcement learning to optimize user engagement; Build evaluation frameworks; Collaborate with engineering to deploy scalable, low-latency systems; Drive innovation in generative recommendations and cross-domain personalization.
Seniority
Manager, hands-on IC with team leadership
