Research Scientist, Addressee Detection / Speech Separation

Skip to content Careers Research Scientist, Addressee Detection / Speech Separation Remote·Full-time·Research You will push the frontier on multi-speaker audio: separating overlapping voices and determining who is talking to the machine versus to another person in the room. Your work becomes the core of a product, not a paper that sits on a shelf. Apply What you will do Advance our approach to addressee detection and speech separation in crowded, overlapping, real world audio. Frame the hard problems clearly, run focused experiments, and turn the results into models we can ship. Build the datasets and benchmarks that let us tell real progress from noise. Partner closely with engineering so that what works in research survives contact with production. Keep us honest about what the science can and cannot do yet. What we are looking for Depth in speech, audio, or a closely related area of machine learning, whether from research, industry, or both. A track record of taking hard modeling problems from idea to result. Comfort working with real, messy audio rather than only clean benchmarks. Clear thinking and clear writing; you can explain a tradeoff to an engineer and to a customer. Interest in seeing your research reach real users quickly, at a small company. Bonus: published or shipped work in source separation, robust speech, or acoustic scene analysis. About attention labs attention labs is early: a small team defining a new category at the intersection of speech, cognitive neuroscience, and machine learning. We work from San Francisco, Toronto, and Memphis, and we are remote-friendly for the right person. Sound like you? Send a note and tell us why this role fits. We read every application. Apply for this role