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3 days ago
This role focuses on building and leading a team responsible for unlocking machine learning opportunities across the media supply chain, captioning services, ad conditioning, metadata extraction, and foundational machine learning training and inference pipelines at scale.
Key Responsibilities- Lead by example and define best practices for the team and organization.
- Recruit and build out teams for applied machine learning organization.
- Develop cutting-edge capabilities using machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.).
- 18+ years of experience managing Machine Learning teams.
- Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
- Experience in one or more of Deep Learning, Reinforcement Learning, Causal Inference.
- Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
Additional Requirements:
- Obsession for service observability, instrumentation, monitoring, and alerting.
- Knowledge of AWS, GCP or similar cloud platforms.
- PhD or masters in computer science or related discipline.
Benefits Include:
- Opportunity to work with a highly skilled team.
- Chance to develop cutting-edge machine learning solutions.
- Possible career advancement opportunities.
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