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Research, Audio Expertise

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San Francisco$350k - $475kfull-timePosted 11mo ago

About the role

Researcher role focused on advancing audio capabilities within a multimodal AI research environment. Blend of fundamental research and practical engineering to design, train, and scale audio-enabled models, with collaboration across pre-training, post-training, and product teams.

Responsibilities

  • Own research projects on audio training, low-latency inference and conversational responsiveness.
  • Design and train large-scale models that natively support audio input and output.
  • Investigate scaling behavior such as how data, model size, and compute affect capability and efficiency.
  • Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.
  • Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.
  • Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia.

Qualifications

  • Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.
  • Understanding of machine learning fundamentals, large-scale training, and distributed compute environments.
  • Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
  • Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
  • Clarity in communication, an ability to explain complex technical concepts in writing.

Skills

Required:Experiment design and analysisMachine learning fundamentalsPythonDeep learning frameworksCommunications

Benefits

  • generous health, dental, and vision benefits
  • unlimited PTO
  • paid parental leave
  • relocation support as needed
Last updated Jul 8, 2026. Interested? Apply on the company site.
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