Senior Data Lead for Generative Audio ML

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

Job summary

Adobe Sound Design AI (SODA) is seeking a data/ML engineer to own end-to-end training data for generative audio models. You will build and monitor large-scale data pipelines, curate training corpora, and drive data licensing and quality across millions of audio/video files.

Join a small, collaborative research team shaping Firefly Generate Sound Effects and related tools, with impact across Adobe products and creative workflows.

Qualifications

• Pipeline-building experience at scale for audio and/or video data with reproducibility and versioning.
• Deep audio domain knowledge: common datasets, quality metrics and their failure modes, codecs, normalization, and filtering.
• Strong 'ears' and critical listening ability.
• Generative-ML research experience to make data decisions, design and run training experiments independently.
• Data acquisition and licensing experience, including writing briefs and communicating across stakeholders.
• Excellent communication skills.

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 both quantitative metrics and qualitative judgment.
• Maintain an ongoing understanding of the corpus: distribution, balance, diversity, coverage, and redundancy.
• Train or finetune models on pipeline outputs, evaluate their behavior, and use those findings to drive new data experiments and ablations.
• Scale training and optimize throughput.
• Drive data licensing and acquisition: identify gaps and opportunities, define briefs, and work with vendors and producers to license and curate new datasets.
• Own how training labels and annotations are produced, validated, and improved, including model-assisted labeling at scale.

Skills

Pipeline-building at scale

Deep audio knowledge

Critical listening

Generative-ML research

Data licensing

Communication skills

Video knowledge

Job description

Adobe Sound Design AI (SODA) is seeking a data/ML engineer to own end-to-end training data for generative audio models. You will build and monitor large-scale data pipelines, curate training corpora, and drive data licensing and quality across millions of audio/video files.

Join a small, collaborative research team shaping Firefly Generate Sound Effects and related tools, with impact across Adobe products and creative workflows.