Machine Learning Engineer, Speech - Joint Audio-Video Modeling

About the Role:

We're looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech and audio generation systems end-to-end from data specs through production inference with a focus on joint audio-video modeling.

You'll own the audio side of multimodal generation: the representations (audio VAEs, neural codecs), the generative backbone (diffusion / flow-matching transformers), and the conditioning and alignment machinery that makes characters speak, sing, and emote in sync with what's on screen. That includes voice cloning and multi-speaker conditioning inside joint AV models, cinematic dialogue with music and sound design, and adjacent speech tasks (controllable TTS, voice conversion) that feed the same stack.

You'll drive the model ↔ data ↔ eval flywheel, partnering closely with research, video, data, and infra to ship fast, reliable, and cost-aware models. In this role you'll work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

You will thrive in this role if you:

• See research and engineering as two sides of the same coin and enjoy owning work end-to-end.

• Are excited to work across modalities and collaborate closely with a video generation team rather than staying inside audio.