Research Engineer

Hume AI is an innovative startup dedicated to building AI systems that can understand and respond to human emotions through speech and audio analysis. The research team focuses on creating models that capture emotional nuances, contributing to scientific advancements and ethical AI practices. The company aims to shape future technology that aligns with human values and well-being, actively publishing in leading scientific outlets and supporting initiatives for ethical AI development.

The role of a Research Engineer involves actively designing and conducting experiments to improve audio and speech models. Responsibilities include developing and refining algorithms, creating scalable software for training and evaluating models, and collaborating with client teams to tailor solutions to their data and goals. The position requires analyzing model outputs and datasets to identify areas for enhancement, ensuring the models are robust and generalize well across different scenarios.

Applicants should bring at least two years of experience working with large datasets in speech, audio, or multimodal machine learning, with proficiency in Python and PyTorch. The ability to produce reliable, maintainable code for research purposes is essential. This full-time position is based at Hume AI’s headquarters, offering an environment where scientific inquiry and practical implementation intersect to push the boundaries of emotionally intelligent AI.