Lead Data Engineer, Generative Audio Training Data

Adobe Inc.; San Francisco (CA); On-site; USD 216,000 - 313,000; Full time

Job summary

Adobe's Sound Design AI group (SODA) seeks a data lead to own training data behind generative audio models end to end. You will build large-scale data pipelines, run in-house models for inference, and curate training corpora with expert judgment.

You will manage data licensing, annotations, and labeling processes, coordinating with vendors and internal teams to ensure data quality, balance, and coverage for cutting-edge audio GenAI research.

Qualifications

• Pipeline building experience at scale for audio and/or video data with reproducibility and versioning.
• Deep audio domain knowledge: datasets, quality metrics, codecs, normalization, and filtering; video knowledge a plus.
• Generative-ML research experience to make data decisions, design and run training experiments independently.
• Strong command of evaluation in audio and video modelling.
• Data acquisition and licensing experience, including briefs and stakeholder communication.
• Excellent communication skills across teams and stakeholders.

Responsibilities

• Build, deploy, and monitor large-scale data pipelines for ingesting, filtering and preprocessing audio and video at scale, with reproducibility and versioning.
• Run in-house models for inference over millions of audio/video files, and build data exploration tools to support this.
• Curate and select training data using quantitative metrics and qualitative judgment; maintain understanding of corpus distribution and coverage.
• Train or finetune models on pipeline outputs, evaluate behavior, and drive new data experiments and ablations to scale training and throughput.
• Drive data licensing and acquisition: identify gaps, write briefs, and collaborate with vendors and producers to curate datasets.
• Own how training labels and annotations are produced, validated, and improved, including model-assisted labeling at scale.

Skills

Pipeline at scale

Deep audio knowledge

Generative ML research

Evaluation metrics

Data licensing

Communication skills

Job description

Adobe's Sound Design AI group (SODA) seeks a data lead to own training data behind generative audio models end to end. You will build large-scale data pipelines, run in-house models for inference, and curate training corpora with expert judgment.

You will manage data licensing, annotations, and labeling processes, coordinating with vendors and internal teams to ensure data quality, balance, and coverage for cutting-edge audio GenAI research.