Related skills
bigquery tensorflow pytorch scala dataflow📋 Description
- Own and evolve large-scale ML pipelines powering content-resolution systems
- Lead multimodal embedding frameworks for music-video understanding and SongDNA
- Improve entity-resolution across music and video content
- Design experiments to improve precision, recall, and content quality
- Build scalable ML evaluation and monitoring infrastructure
- Mentor engineers and influence squad engineering direction
🎯 Requirements
- Experience building, deploying, and maintaining production ML systems at scale
- Strong experience with PyTorch or TensorFlow for training and evaluation
- Experience with multimodal ML across audio, vision, or text embeddings
- Knowledge of entity resolution, deduplication, or large-scale matching
- Ability to design evaluation systems balancing model quality and ops
- Experience with distributed data processing systems (Dataflow, Scio, Flyte)
🎁 Benefits
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- Paid holidays and sick leave
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