Machine Learning Intern

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, not on a side track built to keep interns busy.

We scope internships around a single meaningful question that can be answered in the time you have. The goal is a result worth shipping, publishing, or both. Interns here regularly see their work reach production systems handling millions of calls.

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.

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 engineers to move it toward production.

Choose your depth Depending on your background and interests, your project may focus on:

Expressive and controllable text-to-speech, including prosody and emotion modeling

Neural audio codecs and discrete or continuous speech representations

ASR robustness for telephony, accents, and code switching

Real-time and streaming inference under latency constraints