Software Engineer, Data Infrastructure
CartesiaVoice AI company
San Francisco, United StatesSenior
Index Ventures
Kleiner Perkins
Lightspeed Venture Partners
General Catalyst
NVIDIA
A* Capital
Data & AI
About the role
TL;DR
Build and evolve datasets that power cutting-edge research at Cartesia.
- •Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.
- •Key Responsibilities Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.
- •Design and operate scalable, high-throughput data pipelines for text, audio, and video covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.
- •Partner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines).
- •Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.
- •Identify and source novel datasets; manage relationships and budgets with external data vendors and partners.
- •Requirements Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.
- •Working knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns.
- •Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.
- •Experience leading cross-functional technical efforts in a fast-moving, research-driven environment.
- •Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how they're trained and inference.
Required skills
PandasNumPySparkAirflowDatabricksPostgreSQLMySQLMongoDBAWSKubernetesCI/CDGitPythonSQL
Domain expertise
ai
Benefits & perks
Compensation, Health Insurance, Parental Leave, 401(k), Commuter Allowance, Flexible PTO, Meals & Snacks
Tech stack
PandasNumPySparkAirflowDatabricksPostgreSQLMySQLMongoDBAWSKubernetesCI/CDGitPythonSQL