Research Engineer

This software engineering role focuses on applied AI research, bridging the gap between research and production. The engineer will develop and implement AI/ML solutions, likely involving model integration and optimization within Hightouch's data platform.

This research engineering role focuses on advancing AI agent capabilities, bridging research and production. It involves developing and implementing state-of-the-art AI models and algorithms to enhance agent performance in real-world applications.

This role builds platforms, prototypes, tools, and infrastructure for scalable, high-quality human feedback to train and align AI models. The engineer will work across the stack, from backend pipelines to user interfaces, translating experimental alignment research into production infrastructure. The role requires strong software engineering fundamentals, full-stack development experience, and a focus on model safety and reliability.

This role focuses on research and development in AI, likely involving algorithm design, experimentation, and implementation of models. The engineer will work on advancing HeyGen's AI capabilities, requiring strong programming and machine learning skills.

This role focuses on building intuitive and responsive user interfaces for Hume's products, including the VoiceEQ platform and developer tools. The engineer will work on frontend architecture, ensuring seamless user experiences for AI-powered applications.

This role involves building and optimizing the data plane that handles high-throughput data processing for Hume's expression APIs. The engineer will work on data pipelines, storage, and real-time processing to support AI models that analyze emotional expression across languages.

This role focuses on building and scaling microservices that power Hume AI's emotion understanding and voice AI platform. The engineer will work on core backend infrastructure, ensuring high performance and reliability for APIs that measure 600+ dimensions of expression in 50+ languages.