Amazon

DESCRIPTION

In Demand Tech, we're revolutionizing digital advertising. Our products deliver on Amazon.com and beyond to TV, Twitch, and third-party websites. We bring advertising to brands of all sizes with rich creative experiences (images, video, text) and brand-first advertising goals.

The Response Prediction team sits at the heart of this mission. We build deep-learning models to predict consumer responses to ads that serve internet-scale traffic. Our goal is to accurately predict shopper responses to ads across a variety of devices, contexts, and marketplaces. By meticulously analyzing shopper interactions and their value, we enable the most effective ad allocation and pricing strategies, crafting advertisements that are not only relevant and engaging but also enrich the shopping experience.

Amidst rapid growth and evolving challenges, Demand Tech seeks a Principal Scientist with a deep passion for data, innovation, and the drive to explore new frontiers. This role is perfect for a leader capable of inspiring our team, pioneering deeply technical strategies, and playing a crucial role in crafting world-class advertising solutions. If you're ready to lead in a culture that prioritizes experimentation, teamwork, and ownership, join us. Together, we'll lead the advancement of brand advertising, pushing boundaries to ensure our continued success and growth.

Key job responsibilities

• Be a thought leader and forward thinker, anticipating obstacles to success, helping avoid common failure modes, and holding us to a high standard of technical rigor and excellence in machine learning (ML).
• Own and drive the most complex and strategic solutions across the business; responsible for many millions in revenue.
• Define evaluation methods and metrics that measures viewer experience (e.g., ad relevance) and invent scientifically sound and scalable solutions in the streaming TV context, to improve viewer experience.
• Seek to understand in depth the Sponsored TV offering and identify opportunities to grow our business via principled ML solutions.
• Research, build, and deploy innovative ML solutions; working across all technical disciplines.
• Identify untapped, high-risk technical and scientific directions, and stimulate new research directions that you will deliver on.
• Be responsible for communicating our ML innovations to the broader internal & external scientific communities.
• Hire, mentor, and guide senior scientists.
• Partner with engineering leaders to build efficient and scalable solutions.

About the team

Sponsored TV Ads is a strategic new Amazon Ads product that is pioneering new experiences to help brands connect with millions of viewers. We are innovating on performance ads on TV. If you’re interested in joining a new and rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. We also strive to be a diverse and inclusive team and value work life balance.

#SponsoredTV #STJobs

BASIC QUALIFICATIONS

• Ph.D. in Machine Learning, Computer Science, or related disciplines.
• 10+ years of applied ML experience in delivering ML-based solutions to solve real-world problems and achieve business goals, at a very large scale.
• 2+ years of hands-on experience leading multiple ML teams to design products that satisfy a customer need.

PREFERRED QUALIFICATIONS

• Published research work in academic conferences or industry circles.
• Experience shipping large-scale deep learning models for online recommendation, personalization, or search.
• Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
• Experience influencing product strategy through cutting edge research in deep learning.
• Effective verbal and written skills in communicating with both non-technical and technical audiences.
• Excellent business judgment; the ability to balance business, product, and technology priorities.
• Expert in machine learning, statistics, and experiment design.
• Experience hiring and building teams of applied scientists.
• Experience collaborating and influencing cross-functionally across science, engineering, economics, and business teams.

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.