Research Scientist

What you'll do

• Research, design, and implement speech and audio solutions using signal processing, algorithms, and machine-learning models.
• Develop production inference algorithms, pipelines, and APIs with cross-functional teams.
• Gather training and evaluation datasets with Operations and architect resilient inference and evaluation systems.

What they ask for

• 5+ years of professional audio ML experience, including DSP and ML audio algorithm development.
• End-to-end ownership of ML pipelines from proof-of-concept through production deployment.
• Strong Python skills and proficiency with deep-learning frameworks such as PyTorch; experience deploying production inference systems using cloud technologies.
• Ability to turn research into production-ready code, set ML roadmaps and technical direction, and assess model quality against user experience and business value.

Nice to have

• PhD or Masters in Computer Science or a related field; experience training large neural network models.
• Expertise in classical and machine-learning audio signal processing; publications at top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.

Pay

$210K – $360K USD base salary

Tools

Python, PyTorch, DSP, NeurIPS, ICML, ICLR, CVPR

AI focus

Develops speech and audio ML models, production inference systems, and evaluation pipelines.