Machine Learning Research Intern - Audio

Bland AI · AI/ML/Data

Location: San Francisco, CA
Metro: San Francisco Bay Area
Workplace: On-site
Level: Intern
Type: Internship
Posted: 2 months ago
Source: Simplify internships list

What the posting covers

The Role: Machine Learning Research Intern, Audio

As a Research Intern at Bland, you will own a focused research project across our voice stack: speech-to-text, large language models, neural audio codecs, or text-to-speech. You will work alongside our research team on the same problems they are working on,…

Own a research question end to end

Take one well-scoped problem from literature review through implementation, experimentation, and results. Design ablations that isolate what actually caused an improvement. Present your findings to the research team and defend the methodology.

Work on real systems

Train and evaluate models on large-scale, real-world telephony audio, including the accents, noise, and artifacts that make production speech hard. Use our distributed GPU infrastructure rather than toy-scale setups. Where the result warrants it, work with…

Research foundations

Currently pursuing a MS or PhD in ML, CS, EE, or a related field, or equivalent research experience. Comfortable reading a paper and reimplementing it without hand-holding. Experience with self-supervised, generative, or multimodal modeling.

Audio or speech grounding

Hands-on work with speech or audio models, whether TTS, ASR, codecs, or audio representation learning. Strong intuition for audio quality and what makes synthetic speech sound wrong. Prior publications or open source contributions in speech or language AI are…

How You Show Up

You identify the single experiment that validates an idea in days, not months. You measure everything and let data drive decisions. You are honest about negative results, because they are how we narrow the search. You are obsessed with making voice agents…

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