Machine Learning Intern

📋 Description

• Own a research question end to end: take one well-scoped problem from literature review through
• Design ablations that isolate what actually caused an improvement.
• Present findings to the research team and defend the methodology.
• Work on real systems: train and evaluate models on large-scale, real-world telephony audio.
• Use distributed GPU infrastructure rather than toy-scale setups.
• Where the result warrants it, work with engineers to move it 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 (TTS, ASR, codecs, 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 a strong signal

🎁 Benefits

• Competitive intern compensation
• 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