Applied Scientist I, Prime Video - Playback Intelligence

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role at Amazon Prime Video focusing on enhancing customer playback quality of experience through machine learning and data science. Responsibilities include optimizing video streaming, anomaly detection, integrating new algorithms, and defining research directions. The role involves working with LLMs and generative AI, with a focus on translating research into practical applications and improving customer experience.

What you'd actually do

  1. You will work with multiple teams of scientists, engineers, and product managers to translate business and functional requirements into concrete deliverables leading strategic efforts to enhance customer quality of experiences.
  2. Problem spaces you will be working on include: improving the customer playback quality of experience across Video on Demand, Live Events and Linear Content. You’ll aim to reduce the time/cost/effort to optimize the customer experience as well as detect, root-cause, and mitigate defects in the customer experience. You’ll seek to understand the depth and nuance of streaming video at scale and identify opportunities to grow our business and improve customer quality of experience via principled ML/AI solutions. You will also lead integration of new algorithms and processes into existing modeling stacks, simplify and streamline the existing modeling stacks, and develop testing and evaluation strategies. Ultimately, you'll work backwards from the desired outcomes and lead the way on determining the ideal solution (statistical techniques, traditional ML, GenAI, etc).
  3. You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them.

Skills

Required

  • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice to have

  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • Applied Scientist
  • applied machine learning
  • data science
  • video streaming optimization
  • anomaly detection
  • large language models
  • generative AI
  • customer quality of experiences
  • ML/AI solutions
  • new algorithms
  • testing and evaluation strategies
  • rigorous experiments
  • publishing results
  • translated into practice
  • long-term strategies

Other signals

  • applied machine learning
  • data science
  • video streaming optimization
  • information retrieval
  • anomaly detection
  • large language models
  • generative AI
  • customer quality of experience
  • ML/AI solutions
  • new algorithms
  • testing and evaluation strategies
  • statistical techniques
  • traditional ML
  • GenAI
  • research directions
  • machine learning techniques
  • rigorous experiments
  • publishing results
  • translated into practice
  • long-term strategies