Senior Machine Learning Engineer - AGI

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'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.Responsibilities Lead the re-architecture of our voice agent systems to support complex workflows, ensuring flexibility and scalability. Develop and implement advanced techniques for interrupt handling and end-turn detection in voice interactions, mimicking human-like conversation flow. 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. 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. Mentor junior team members and contribute to setting technical direction for the team. Stay at the forefront of advancements in machine learning optimization, model serving technologies, and conversational AI, and drive their adoption within the organization.