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As a Researcher, you will focus on advancing post-training methods and systems for multimodal models, including preference optimization and evaluation frameworks.

Embed with enterprise customers to design, build, and deploy production-grade voice AI systems. Own end-to-end deployments across cloud, VPC, and on-prem environments, resolve integration and performance issues, prototype repeatable solutions, and translate customer signal into product improvements.

Conduct research in neural network architecture design for advanced AI models, focusing on state-of-the-art architectures and their deployment across various environments.

As Evaluations Lead, you will design evaluation frameworks for AI models, develop metrics and studies, and ensure assessment of intelligent behavior nuances.

This role involves conducting research on innovative neural network architectures like state space models and transformers, balancing efficiency and adaptability, and collaborating with teams to apply novel designs to real-world applications.