Bland
San Francisco, CA

Machine Learning Intern

OnsitePosted 3 weeks agoVisa Sponsorship

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Job details

Location
San Francisco, CA
Work type
Onsite
Visa
Sponsorship available
Posted
3 weeks ago
Apply on
jobs.ashbyhq.com

About this role

Bland is hiring a Machine Learning Research Intern, Audio to work on frontier voice AI research. The intern will own an end-to-end research project involving speech, audio, or language models, conduct experiments on real-world telephony audio using distributed GPU infrastructure, and help move successful results toward production.

What you'll do:

  • 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, 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
  • 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
  • Full-duplex conversation and turn-taking dynamics

What they're looking for:

  • 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
  • Prior publications or open source contributions in speech or language AI are a strong signal, though not required

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
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About Bland

Bland
San Francisco, CA