Mô tả công việc
The Machine Learning Engineering team is at the forefront of our efforts to develop and deploy cutting- edge conversational AI systems powered by multi- agent architectures and large language models (LLM). We work closely with our research team to optimize, scale, and innovate the deployment of our state- of- the- art models, ensuring that our conversational AI systems are efficient, scalable, and capable of handling complex, multi- turn interactions with human- like fluency.
As a Senior Machine Learning Engineer focused on multi- agent systems, you will lead efforts to optimize, scale, and re- architect our conversational AI models. You&039;ll be responsible for designing and implementing advanced systems that enable multiple agents to collaborate seamlessly, providing intelligent and coherent responses. A key focus of your role will be to enhance our voice agents to support complex workflows and handle interactions as smoothly as a human would, including interrupt handling and end- turn detection in a noise environment.
ResponsibilitiesDevelop and implement advanced techniques for interrupt handling and end- turn detection in voice interactions, mimicking human- like conversation flow.
Lead the integration of advanced speech- to- text and text- to- speech capabilities into our conversational AI systems, enabling seamless and natural voice- based interactions.
Stay at the forefront of advancements in machine learning optimization, model serving technologies, and conversational AI, and drive their adoption within the organization.
Collaborate with cross- functional teams to design and implement multi- agent systems that can handle a wide range of applications, from customer support to domain- specific voice agent.
Mentor junior team members and contribute to setting technical direction for the team.
Lead the re- architecture of our voice agent systems to support complex workflows, ensuring flexibility and scalability.
