Senior Machine Learning Research Engineer

We are looking for a Machine Learning Research Engineer with 5+ years of experience (PhD + 1 year industry, or 5 years industry with publications) to own the full lifecycle of ML research and development at the frontier of audio AI. You'll join a fast-growing team backed by NVIDIA and top-tier investors, building cutting-edge speech and audio models that power the data layer for the world's leading AI labs. This is a role for someone who thrives in a research-driven environment, has published at top conferences, and is excited to take end-to-end ownership of novel ML directions — from design and training to deployment and fine-tuning.

What will you be doing?

Owning full research directions end-to-end — designing, training, deploying, and fine-tuning ML models for speech and audio applications

Publishing and advancing the state of the art in speech, audio, and multimodal ML (NeurIPS, ICML, ICLR caliber work)

Building production-grade inference systems and resilient pipelines that process terabytes of audio data daily

Collaborating cross-functionally with operations and engineering teams to gather training/evaluation datasets and improve model quality

Setting ML roadmaps and mentoring other engineers as the team scales