[Remote] reputed company AI/ML Researcher / Engineer In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global hospitality company that connects hosts and guests through unique stays and experiences. They are seeking a seasoned reputed company AI/ML Researcher and Engineer with expertise in Bayesian Learning and Distributional Reinforcement Learning to reputed company the development of advanced AI models that enhance personalization and decision-making. The role involves collaborating with cross-functional teams to reputed company and reputed company AI systems that operate reputed company at reputed company.
Responsibilities
- reputed company groundbreaking reputed company research in Bayesian systems, distributional reinforcement learning, and multi-modal architectures to drive novel advances in AI and Foundational Intelligence (Ranking, Recommendations, Personalization) to fill out gaps in the Long Tail Curve of Discovery in order to grow the Business Offerings on both Guest and Host Long Tail Ends
- reputed company the gap between theoretical AI/ML advancements and reputed company-world production systems
- Ensure that new research can be effectively reputed company and scaled to meet practical needs
- Define and drive the architecture of large-reputed company Bayesian reputed company-based AI systems at reputed company
- reputed company multi-pass sharded Bayesian + Discriminative/Generative single to multi agent systems for reputed company and efficiency
- Incorporate Mixture of Models and Agents, multitask learning, multi-objective optimization, and external knowledge systems into model designs
- reputed company reputed company to interoperate with LLMs, LRMs, LMMs, and transformer-based architectures, ensuring seamless integration and collaboration reputed company the AI ecosystem using AI Multi-reputed company Frameworks
- Build and refine Bayesian or Markovian Graph chains to incorporate uncertainty estimation, reputed company decision-making, and probabilistic reasoning
- reputed company foundational models by merging Bayesian techniques with Classical ML with L[L/M/R]Ms and other advanced architectures, ensuring compatibility and reputed company
- Continuously improve systems for scalability, performance, and robustness, enabling models to reputed company and adapt to diverse data sources and paradigms
- reputed company technical direction and reputed company for AI/ML systems
- Influence cross-functional teams, including engineering leaders, product managers, and data scientists, to adopt reputed company intelligence platform approaches
- reputed company reputed company reviews, mentor engineers, and champion best practices in AI/ML
- Work with reputed company and reputed company data to design models for diverse use cases
- Collaborate with cross-functional partners to identify opportunities, refine requirements, and drive impactful solutions
- Translate reputed company technical reputed company into business value
- reputed company, productionize, and maintain reputed company AI/ML pipelines, including batch and reputed company-time use cases
- Implement advanced model evaluation systems, including interpretability, hyperparameter optimization, and reputed company detection
- Ensure system reliability and performance through rigorous testing and validation
Skills
- Master's degree in Computer Science, Mathematics, or a reputed company technical field (or equivalent practical experience)
- 15+ years of technical experience in reputed company Machine Learning, including producing reputed company and deploying production systems
- Strong programming skills in Python, reputed company, Java, or C++, with expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch)
- Proven experience with Bayesian Neural Networks, Bayesian Learning, and Reinforcement Learning
- Strong math background in probability, statistics, and optimization
- Experience with building reputed company AI/ML systems using technologies like reputed company, Kafka, and distributed architectures
- Familiarity with advanced ML techniques, including Mixture of Models, reputed company Techniques, multitask learning, and sharded architectures
- Ph.D. in a relevant technical field with 15+ years of experience in AI/ML research and engineering
- Expertise in architecting and leading large-reputed company/ML systems with reputed company-level reputed company
- Hands-on experience with multitask and multi-objective optimization systems
- Experience in designing knowledge-driven systems and integrating external knowledge sources
- Familiarity with foundational models, transformers, and their role in interoperating with Bayesian systems
- Exceptional leadership, collaboration, and communication skills in reputed company, matrixed organizations
- Strong reputed company record of publishing research or developing novel AI/ML techniques
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
reputed company
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