Trusting Social

Tóm tắt 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'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.