Join Amazon Advertising - Senior Applied Scientist in Contextual Ads

Amazon Advertising is currently seeking a Senior Applied Scientist for its innovative initiative that drives Amazon’s contextual advertising product. Our advertising sector is a rapidly expanding, multi-billion dollar business encompassing desktop, mobile, and connected devices. This initiative spans ads on Amazon and a comprehensive network of third-party publishers, reaching across the US, EU, and numerous international locations.

We are searching for a dynamic, forward-thinking, and accomplished Senior Applied Scientist to lead machine learning and data science efforts in contextual data processing and classification. Are you thrilled by the opportunity to analyze terabytes of data and apply cutting-edge data science and machine learning techniques to address real-world challenges? Do you thrive in owning and defining business problems with high ambiguity and driving new initiatives? As an applied scientist, you will invent ML and Artificial General Intelligence-based solutions to enhance our contextual classification technology.

Key Job Responsibilities

• Design, prototype, and test multiple hypotheses in high-ambiguity environments using both analytical skills and business acumen.
• Collaborate with software engineering teams to embed successful experiments into Amazon's large-scale production systems.
• Promote a culture of experimentation and applied science within Amazon.
• Meet deadlines while juggling multiple projects with ease.
• Display excellent communication and presentation skills with various peer groups and management levels.
• Influence and perpetually enhance a sustainable team culture that embodies Amazon’s leadership principles.

About the Team

The Supply Quality organization is dedicated to solving optimization challenges for Amazon’s ad programs, ensuring high-quality ad impressions. Our team develops advanced algorithms and infrastructure to optimize advertiser and publisher performance. We tackle a diverse array of problems in computational advertising, including contextual data processing and classification, traffic quality prediction (robot and fraud detection), security forensics, viewability prediction, brand safety, and experimentation.

Our team consists of experts in distributed computing, machine learning, statistics, optimization, text mining, information theory, and big data systems.

Locations

We are open to hiring candidates in the following location:

• London, GBR

Basic Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
• Experience in applied research.
• Proficiency in programming languages such as Java, C++, Python, or similar.
• Experience in building machine learning models for business applications.
• Experience with generative deep learning models, specifically LLM and/or LVM development.

Preferred Qualifications

• Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
• Experience with large-scale distributed systems such as Hadoop, Spark, etc.

Amazon is an equal opportunities employer. We firmly believe that a diverse workforce is essential to our success. Our recruiting decisions are based on your experience and skills. We value your passion for discovering, inventing, simplifying, and building.

Protecting your privacy and data security is a top priority for Amazon. Please refer to our to learn more about how we manage candidates’ personal data.

Our inclusive culture empowers our team members to achieve the best results for our customers. If you have a disability and need an accommodation during the application and hiring process, including support for interviews or onboarding, please contact the Applicant-Candidate Accommodation Team (ACAT), available Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If you're calling from the United Kingdom, dial +44 800 086 9884. If from Ireland, dial +353 1800 851 489.

Company Name: Amazon.com

Job Title: Sr. Applied Scientist LLM/LVM, Contextual Ads