Research Engineer, Audio Understanding
CartesiaVoice AI company
San Francisco, United StatesMid
Index Ventures
Kleiner Perkins
Lightspeed Venture Partners
General Catalyst
NVIDIA
A* Capital
Data & AI
About the role
TL;DR
Develop datasets and systems to improve AI model performance.
- •In this role, you'll work across the full data stack to develop a deep understanding of how data influences model performance and leverage that knowledge to advance the frontier of multimodal datasets to create new capabilities for AI.
- •Key Responsibilities Design and build high-quality datasets for model training.
- •Engineer web-scale data pipelines and build systems to annotate and ensure data quality at scale.
- •Develop techniques for post-training and synthetic data generation to improve model quality and intelligence.
- •Requirements Experience building or working with large multilingual datasets.
- •Experience with generative models (speech, text, or multimodal).
- •Ability to help guide human annotation and evaluation across multiple languages.
- •Strong applied ML background with a focus on data-centric approaches.
- •Excitement for building scalable systems that bridge research and production.
Required skills
PythonTensorFlowPyTorchscikit-learnPandasNumPyApache KafkaKubernetesCI/CD
Domain expertise
ai
Benefits & perks
Compensation, Health Insurance, Parental Leave, 401(k), Commuter Allowance, Flexible PTO, Meals & Snacks
Tech stack
PythonTensorFlowPyTorchscikit-learnPandasNumPyApache KafkaKubernetesCI/CD