Machine Learning Engineer, Prime Video Ads CX

Full Job Description

Are you interested in shaping the future of movies and television, and being part of a team that is helping Amazon redefine the future of video advertising? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices, and Prime Video is a rising player in this space.

PV Ads CX team owns personalizing Ads experience for a customer on Prime Video. We work on balancing customer satisfaction and engagement with monetization objectives by applying machine learning based solutions to customize the Ads experience. We work with millions of customer's data to understand customer behavior, business need, and formulate ML based solution to delight our customers.

Successful candidates have a solid background in machine learning. They have experience working on big data, and neural network models. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great communication skills, a motivation to learn, and achieve results in a fast-paced environment with excellent analytical reasoning skills.

Key job responsibilities As a MLE-II on the team, you will be responsible for:

• 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.

Basic 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

Preferred Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

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