SoundHound AI believes every person should be able to interact naturally with the products around them–by simply talking. With a global reach spanning two dozen languages, we build Voice AI products with conversational intelligence for cars, restaurant ordering, and more, allowing our customers to extend their brand in new and meaningful ways.

In Short

Lead and contribute to cutting edge development in Generative AI, focusing on natural language understanding, dialogue generation, and context-aware conversational systems
Develop novel algorithms and models for enhancing the performance and intelligence of our conversational AI platform
Train and fine-tune large-scale deep learning models for natural language processing and dialogue generation
Collaborate with cross-functional teams, including machine learning engineers, software developers, and product managers, to integrate research findings into our products and solutions
Remain at the forefront of Generative AI advancements, actively contributing to the evolution and enhancement of our technological infrastructure.

Requirements

You have a Masters or Ph.D. in Computer Science and at least three years of relevant, full-time industry experience
You have proven expertise in impactful research and development in Generative AI, with relevant projects demonstrating your expertise
You are highly proficient in deep learning frameworks (e.g., TensorFlow, PyTorch) and have experience with large-scale model training
You have in-depth knowledge of natural language processing (NLP) techniques, including pre-trained language models, text generation, and dialogue systems
You have strong programming skills in Python and can implement and optimize AI models
You can tackle complex challenges and develop innovative solutions in the field of conversational AI
You have excellent teamwork and communication skills, with the ability to work effectively with cross-functional teams
You have a passion for staying at the forefront of AI research and a drive to push the boundaries of what's possible in conversational AI