AI Scientist, Audio

The Role

As an AI Scientist on the Audio team, you will help push the frontier of speech-language models by developing novel methods for training, evaluating, and deploying state-of-the-art AI systems. You will work on technologies that make advanced speech capabilities more capable, scalable, and impactful for both enterprise and consumer applications.

What You Will Do

• Research and develop novel methods to push the frontier of large language models

• Improve speech AI performance across multilingual and multimodal use cases.

• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)

• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale

• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact

• Contribute to AI research through publications and open-source innovation.

• Expertise in speech AI, including speech input/output and audio processing.

• Strong software engineering skills in Python or another modern programming language.

• Hands-on experience with AI frameworks such as PyTorch or JAX, and distributed systems such as Ray or Kubernetes.

• Ability to design and build scalable, production-ready machine learning systems.

• Experience training, fine-tuning, and evaluating large transformer or speech-language models.

• Strong problem-solving skills with a proactive, self-driven approach to research and engineering.

• Collaborative mindset with the ability to work effectively across research, engineering, and product teams.

• Track record of contributing to AI research through publications, open-source projects, or technical innovation.