Senior Machine Learning Engineer - Enrichment & Content Intelligence
Tasks
- Build ML evaluation and monitoring infrastructure
- Design and run ML experiments
- Improve Music Knowledge Graph production ML capabilities
- Improve entity resolution systems
- Lead development of multimodal embedding frameworks
- Mentor engineers
- Own and evolve large scale ML pipelines
- Partner with product managers and data scientists
Perks/Benefits
- 401k retirement plan
- Flexible holidays
- Health insurance
- In-person meetings
- Meal allowance
- Paid parental leave
- Paid sick leave
- Paid time off
- Work from home flexibility
Skills/Tech-stack
A/B | A/B Testing | B testing | Computer Vision | Continuous Improvement | Data Processing | Deduplication | Distributed data | Distributed data processing | Embedding | Entity Resolution | Evaluation | Lifecycle Management | ML pipelines | Machine Learning | Model Lifecycle | Model Lifecycle Management | Monitoring | Multimodal Learning | Offline evaluation | PyTorch | Recommendation Systems | Record Linkage | Retraining | TensorFlow | Text Embeddings | Video Understanding
Education
N/A
Regions
Countries
States
Cities
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