ML Engineer, Video Ads CX — Personalization

Prime Video & Amazon MGM Studios

Arlington (VA)

On-site

USD 144,000 - 194,000

Full time

5 days ago
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Job summary

Amazon.com Services LLC in Arlington, Virginia, is seeking a Senior ML Engineer to help shape the PV Ads CX. You will collaborate with scientists to develop ML-based solutions for ads customer experience on Prime Video and work on processing massive data to scale models.

The role requires strong problem-solving, communication, and a drive to learn in a fast-paced environment. You will mentor engineers, lead cross-team initiatives, and contribute to building highly available, mission-critical

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • Experience programming with at least one software programming language.
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
  • Bachelor's degree in computer science or equivalent.
  • Experience with video ad serving and ad delivery.

Responsibilities

  • Collaborating closely with Scientists to develop ML based solutions for Ads Customer Experience on Prime Video.
  • Building solutions to process massive data, scale machine learning models, while defining and optimizing criteria critical to the success of the customer experience
  • Driving cross-team initiatives and leading a team of developers on key initiatives.
  • Mentoring engineers on the team.

Skills

ML
Big data
Neural networks
Communication skills

Education

Bachelor's degree in Computer Science or equivalent

Job description

Amazon.com Services LLC in Arlington, Virginia, is seeking a Senior ML Engineer to help shape the PV Ads CX. You will collaborate with scientists to develop ML-based solutions for ads customer experience on Prime Video and work on processing massive data to scale models.

The role requires strong problem-solving, communication, and a drive to learn in a fast-paced environment. You will mentor engineers, lead cross-team initiatives, and contribute to building highly available, mission-critical

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