Senior Research Engineer

What you'll do

• Build, deploy, and monitor large-scale data pipelines for ingesting, filtering, and preprocessing audio and video content.
• Run in-house models for inference over millions of files to build data exploration tools.
• Curate and select training data using both quantitative metrics and qualitative judgment.
• Monitor the corpus for distribution, balance, diversity, coverage, and redundancy.
• Train or finetune models on pipeline outputs to drive new data experiments and ablations.
• Scale training processes and optimize throughput for generative audio models.
• Manage data licensing and acquisition by identifying gaps and working with vendors to procure new datasets.
• Oversee the production, validation, and improvement of training labels and annotations at scale.

What we're looking for

• Experience building, deploying, and monitoring large-scale data pipelines for audio and video with reproducibility and versioning.
• Deep knowledge of audio domains including common datasets, quality metrics, codecs, normalization, and filtering.
• Strong critical listening ability and "ears" for audio content.
• Experience in generative-ML research to independently design and run training experiments.
• Proficiency in evaluating audio and video modeling results.
• Experience in data acquisition and licensing, including writing briefs and communicating with stakeholders.
• Excellent communication skills.
• Knowledge of video is a plus.