Lead Applied Scientist, Sponsored Television

2 weeks ago

New York, New York, United States Amazon Full time

Join a Pioneering Team at Amazon Ads

Are you ready to contribute to one of the most critical initiatives within Amazon Ads? This is your opportunity to be part of a transformative journey, shaping a billion-dollar venture while influencing the viewing experience of millions through cutting-edge technology. We are expanding our team to enhance the Sponsored Ads division, which is vital for delivering advertising solutions to countless viewers and advertisers every day.

About Amazon's Advertising Vision

Amazon is committed to building a premier advertising ecosystem, focusing on self-service performance advertising products that enhance product discovery and drive sales. Our offerings are crucial for the long-term success of our Retail and Marketplace sectors, delivering billions of ad impressions and millions of clicks daily. We continuously strive to innovate and provide an exceptional shopping experience for our vast customer base.

Sponsored TV: A New Frontier

We are in the process of developing a suite of groundbreaking services for a new advertising initiative, Sponsored TV, which leverages rich video content optimized for various platforms, including mobile and desktop. This is a unique opportunity to define the user experience, video services, content delivery, asset management, and advertiser self-service functionalities from the ground up.

Key Responsibilities

  • Serve as a visionary leader, proactively identifying potential challenges and maintaining high standards of technical excellence in machine learning (ML).
  • Take ownership of complex, strategic solutions that drive significant revenue.
  • Establish evaluation methods and metrics to assess viewer experience, such as ad relevance, and develop scientifically robust and scalable solutions tailored for the streaming TV environment.
  • Deeply understand the Sponsored TV offering and pinpoint opportunities for business growth through principled ML applications.
  • Research, develop, and implement innovative ML solutions across various technical domains.
  • Identify unexplored, high-risk technical and scientific avenues, fostering new research directions.
  • Communicate our ML advancements to both internal and external scientific communities.
  • Mentor and guide senior scientists, fostering a culture of growth and innovation.
  • Collaborate with engineering leaders to create efficient and scalable solutions.

About Our Team

The Sponsored TV Ads team is at the forefront of creating innovative experiences that connect brands with millions of viewers. We are dedicated to revolutionizing performance advertising on television. If you are passionate about joining a dynamic and rapidly evolving team focused on building a world-class advertising platform with a strong customer-centric approach, you will find a welcoming environment here. We also prioritize diversity and inclusion, valuing work-life balance.

Basic Qualifications

  • Ph.D. in Machine Learning, Computer Science, or related fields.
  • Over 10 years of practical ML experience delivering solutions that address real-world challenges and meet business objectives at scale.
  • At least 2 years of hands-on experience leading multiple ML teams to design customer-centric products.

Preferred Qualifications

  • Published research in academic or industry forums.
  • Experience deploying large-scale deep learning models for online recommendation, personalization, or search.
  • Proven ability to collaborate with engineering teams to ensure deep learning solutions meet performance requirements.
  • Expertise in influencing product strategy through advanced research in deep learning.
  • Strong communication skills, both verbal and written, for diverse audiences.
  • Excellent business acumen, balancing technology, product, and business priorities.
  • Proficient in machine learning, statistics, and experimental design.
  • Experience in building and leading teams of applied scientists.
  • Ability to collaborate and influence across various teams, including science, engineering, economics, and business.

Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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