Software Engineer - Machine Learning (Computer Vision / NLP)

At SoundHound, we are building the next generation of conversational AI that can understand, respond, and act upon complex natural language requests. As a Software Engineer on our Machine Learning team, you will work on building the core AI models and systems that power our unique conversational AI capabilities. In this role, you will: - Design and implement machine learning models and systems, with a focus on both computer vision and natural language processing - Work closely with our research team to translate state-of-the-art machine learning techniques into production-ready systems - Develop efficient and scalable algorithms and infrastructure to handle large volumes of data and inference - Collaborate with cross-functional teams to integrate your work into our end-to-end conversational AI platform - Stay up to date with the latest advancements in machine learning and proactively explore new techniques and technologies You are the ideal candidate if you have: - 3+ years of experience building and deploying large-scale machine learning systems in production - Strong background in machine learning, with expertise in both computer vision and natural language processing - Proficiency in Python, PyTorch/TensorFlow, and modern ML frameworks - Experience with deploying ML models in containerized and cloud-based environments - Familiarity with agile software development practices and tools - Strong communication and collaboration skills to work effectively with cross-functional teams

SoundHound AI is a leading conversational AI company that has pioneered advanced voice AI technologies. Our mission is to empower people to interact with technology naturally and make the digital world more human. We are building the next generation of conversational AI that can understand, respond, and act upon complex natural language requests. Our technology is powering leading brands and products across diverse industries, from automotive to entertainment to enterprise.