About the role
Assort Health is expanding its engineering team in San Francisco, focusing on developing advanced healthcare AI models that enhance patient interactions. The role involves designing, building, and deploying models that improve conversational capabilities, including speech and audio processing, to create a seamless patient experience. The team values innovation, reliability, and efficiency, working on large-scale projects that impact healthcare administration and patient care.
The research engineer will lead efforts to improve AI models used in voice agents, from hypothesis testing to model deployment. Daily tasks include experimenting with speech and audio data, optimizing model architectures, and collaborating with platform engineers to integrate solutions into production. The role demands a strong background in AI/ML, especially in speech-related technologies, and a focus on measurable, real-world impact.
Candidates should have over five years of experience in AI/ML engineering or research, with proven success in deploying large language models in production environments. Proficiency in Python and modern ML tools is essential, along with the ability to translate research ideas into reliable systems. The position offers a hybrid work setting, competitive compensation, and benefits that support professional growth and well-being.