Applied Science Manager, Alexa Ads
Job Summary
Key job responsibilities
- Hire develop and mentor a high-performing team of applied scientists.
- Partner with product management and engineering leadership to define the mid-to-long-term scientific roadmap for conversational ads and personalization.
- Manage the execution of complex ML projects ensuring rigorous experimental design high modeling standards and on-time delivery.
- Bridge the gap between science engineering and product translating business metrics into scientific goals and vice versa.
- Establish best practices for ML lifecycle management code quality and technical documentation within the team.
- Masters degree or above in computer science mathematics statistics machine learning or equivalent quantitative field
- 6 years of building machine learning models for business application experience
- 3 years of direct people leadership experience
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience debugging profiling and implementing best software engineering practices in large-scale systems
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience (technical and operational) with multiple domain areas of programmatic advertising technologies (DSP RTB bid shading machine learning optimization ad verification ad tracking ad attribution etc.)
- Experience building large-scale machine learning models and infrastructure for online recommendation ads ranking personalization or search
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Required Experience:
Manager
Key Skills
About Company
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