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About the Role

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.

Responsibilities

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
Train and evaluate models on large-scale, real-world telephony audio
Use our distributed GPU infrastructure
Work with engineers to move research toward production

Requirements

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
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
Fluent in PyTorch and comfortable in a real codebase
Able to run your own experiments on GPU clusters without waiting to be unblocked
Identify the single experiment that validates an idea in days, not months
Measure everything and let data drive decisions
Honest about negative results
Obsessed with making voice agents sound truly human
Use AI tools aggressively to amplify your own impact

Skills

Speech-to-text
Large language models
Neural audio codecs
Text-to-speech
Self-supervised modeling
Generative modeling
Multimodal modeling
Audio models
Speech models
TTS
ASR
Codecs
Audio representation learning
PyTorch
GPU clusters

Location

Levi's Plaza, SF

Work Type

Internship

Experience Level

Intern

Education Level

MS or PhD in ML, CS, EE, or a related field, or equivalent research experience

Salary/Compensations

Competitive intern compensation

Benefits

Mentorship from researchers working on frontier voice AI
Every tool you need to succeed
Beautiful office in Levi's Plaza, SF with rooftop views
A real shot at a return offer

About the Company

Bland