Trusting Social
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
Preferred Qualification
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Trusting Social is a Fintech AI company who pioneers alternative credit scoring for emerging markets using telecom data and other new data sources. We aim to provide credit scores for 1 billion unbanked consumers who currently do not have access to formal credit. We target emerging markets worldwide, with the initial focus on Southeast Asia and India.
Trusting Social is comprised of Ph.D. data scientists from Stanford Research Institute, Microsoft, IBM etc., and banking leaders from Goldman Sachs, Credit Suisse, and Barclays. Founded in Silicon Valley, Trusting Social is now headquartered in Singapore, with R&D lab in Ho Chi Minh, and offices in Hanoi, Manila, and Jakarta.
