Research Scientist, Addressee Detection / Speech Separation

attention labs; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

attention labs is building next-generation speech technology to separate overlapping voices and determine who is talking to the system. We are a small, globally distributed team with bases in San Francisco, Toronto, and Memphis, and we welcome remote candidates for the right fit.

As Research Scientist, Addressee Detection / Speech Separation, you will frame hard problems, run focused experiments, and turn results into deployable models while collaborating with engineering and product teams to

Qualifications

• Depth in speech, audio, or closely related ML area (research, industry, or both).
• Track record of taking hard modeling problems from idea to result.
• Comfort working with real, messy audio, not only benchmarks.
• Clear thinking and writing; explain tradeoffs to engineers and customers.

Responsibilities

• Advance approach to addressee detection and speech separation in crowded, real-world audio.
• Frame hard problems clearly, run focused experiments, and turn results into shipable models.
• Build datasets and benchmarks to quantify progress over noise.
• Partner closely with engineering so research works in production.

Skills

Speech ML

Audio processing

Research-to-product

Clear communication

Job description

Research Scientist, Addressee Detection / Speech Separation

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.

• 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.

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.