Description
Prime Video Recommendation team's mission is to leverage state-of-the-art Machine Learning (ML) systems that establish deep connections between customers and their favorite Movies, TV shows, and Live Events in order to power highly personalized recommendations, identify the most delightful content for each customer to engage with at the right time, in the right place, across Prime Video. We help our customers find content they didn’t even know they were looking for, continuing to surprise them with the breadth and depth of content available to enjoy.
Key job responsibilities
Building services with Tier‑1 availability and performance characteristics while enabling Day‑1 innovation capabilities.
Evolve the Prime Video Storefront orchestration strategy to enable continuous experimentation and feature delivery that keeps pace with innovations in state‑of‑art ML capabilities.
Extend solutions to support constantly evolving landscape of Prime Video – Live Sports, Linear TV, etc.
Lead & partner on developing strategic technical vision for the PV Recommendations space.
Partner with Product, Scientists and Engineering stakeholders.
A day in the life
As Sr. SDE, you will be technical lead of an engineering team building services to deliver personalization solutions at incredible scale and speed. You will be operating with state‑of‑the‑art technologies on engineering and machine learning dimensions. You will foster a culture of innovation and excellence, leading and growing talented junior engineers on your team and around PV. At the end of the day, you will have the reward of seeing your contributions delight PV customers worldwide.
About the team
This team is at the heart of PV personalization – building ML‑driven understanding about customers’ preferences based on their past engagement, current context (e.g. device, title release date, etc.) and other signals (e.g. search activity, etc.). We use this understanding to power new video discovery experience across PV. We operate in a complex business/tech space requiring us to operate at speed and rapidly prototype/experiment. If you are excited about making an impact on a product that is used by 100M+ customers around the world, including your own friends and family, then this could be the right opportunity for you!
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Sr. SDE, Machine Learning, Prime Video Personalization and Discovery
Amazon · Multiple locations ·
- Job type:
- Full Time