Principal AI/ML Researcher
Core
Lead advanced research and development of cutting-edge intelligence AI models integrating Bayesian frameworks, Distributional Reinforcement Learning, and Large Language/Multimodal Models to create a foundational model fabric for personalization and decision-making.
Role type
Principal AI/ML Researcher and Engineer (Bayesian & RL)
Builds
Next-generation AI platforms and production-level systems for ranking, recommendations, and adaptive decision-making.
Domain
Travel technology, Probabilistic AI, Reinforcement Learning, Foundational Models
Deliverable
production ML models
Required skills
Bayesian Learning, Distributional Reinforcement Learning, Large Language Models (LLMs), Large Multimodal Models (LMMs), Mixture of Models, Multi-objective optimization, Scalable system architecture, Python, Scala, Java, C++, TensorFlow, PyTorch, Spark, Kafka
Preferred skills
Ph.D. in technical field, Enterprise-level system architecture, Knowledge-driven system design, Research publication track record
Technologies
TensorFlow, PyTorch, Spark, Kafka
Responsibilities
Lead groundbreaking applied research in Bayesian systems and multi-modal architectures; Define and drive architecture of large-scale Bayesian Framework-based AI systems; Build and refine Bayesian or Markovian Graph chains for uncertainty estimation; Lead technical direction and strategy for AI/ML systems; Develop, productionize, and maintain scalable AI/ML pipelines.
Seniority
Principal, hands-on IC with strategy & mentorship
