Machine Learning Engineer, Prime Video Ads CX

The Machine Learning Engineer role on the Prime Video Ads CX team focuses on personalization of the ads experience using machine learning solutions. The team works with large-scale customer data to align customer satisfaction and engagement with monetization goals, supporting ads experiences across Prime Video.

Role Overview

The PV Ads CX team owns the personalization of the Ads experience for customers on Prime Video. This position applies machine learning based solutions to customize the Ads experience, helping teams interpret customer behavior and business needs using millions of customer data points, with the goal of improving customer delight.

Key Responsibilities

• Collaborate closely with Scientists to develop machine learning based solutions for Ads Customer Experience on Prime Video.
• Build solutions that process massive data, scale machine learning models, and define and optimize criteria that drive customer experience success.
• Drive cross-team initiatives and lead a team of developers on key initiatives.
• Mentor engineers on the team.

Required Qualifications

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

Additional Description

• Apply a strong machine learning background, including experience with big data and neural network models.
• Own and maintain highly available, mission-critical systems.
• Advertising domain experience is a plus.
• Use problem-solving and technical skills alongside strong communication to deliver results in a fast-paced environment with strong analytical reasoning.

Benefits

• Sign-on payments and restricted stock units (RSUs).
• Health insurance including medical, dental, vision, prescription, Basic Life & AD&D insurance, and options for Supplemental life plans; EAP; Mental Health Support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off.
• Parental leave.

Location and Compensation

Location: Arlington, VA (onsite)
Compensation: USD 143,700 - 194,400 per year

Education

Bachelor's degree in computer science or equivalent.