Are you interested in shaping the future of Advertising and B2B Sales? We are a
growing science and engineering team with an exciting charter and need your
passion, innovative thinking, and creativity to help take our products to new
heights.
Amazon Advertising is one of Amazon's fastest growing and most profitable
businesses, responsible for defining and delivering a collection of advertising
products that drive discovery and sales. Our products are strategically
important to our businesses driving long term growth. We break fresh ground in
product and technical innovations every day!
Within the Advertising Sales organization, we are building a central AI/ML team
and are seeking top science talent to build new, science-backed services to
drive success for our customers. Our goal is to transform the way account teams
operate by creating actionable insights and recommendations they can share with
their advertising accounts, and ingesting Generative AI throughout their
end-to-end workflows to improve their work efficiency.
As a part of our team, you will bring deep expertise in quantitative modeling
(forecasting, recommender systems, reinforcement learning, causal inferencing or
generative artificial intelligence) to build and refine models that can be
implemented in production. You will be a thought leader as we chart new courses
with our ad sales support technologies, and you have the communication skills
necessary to explain complex technical approaches to a variety of stakeholders
and customers. As a senior lead, you will have the excitement to take iterative
approaches to tackle big, long-term problems.
Why you will love this opportunity: Amazon has invested heavily in building a
world-class advertising business. This team defines and delivers a collection of
advertising products that drive discovery and sales. Our solutions generate
billions in revenue and drive long-term growth for Amazon's Retail and
Marketplace businesses. We deliver billions of ads impressions, millions of
clicks daily, and break fresh ground to create world-class products. We are a
highly motivated, collaborative, and fun-loving team with an entrepreneurial
spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence
customer-facing shopping experiences; this is your opportunity to work within
the fastest growing businesses across all of Amazon! Define a long-term
scientific vision for our advertising sales business, driven from our customers'
needs, translating that direction into specific plans for scientists, engineers
and product teams. This role combines scientific leadership, organizational
ability, technical strength, product focus, and business understanding.
Key job responsibilities
- Conceptualize and lead state-of-the-art research on new Machine Learning and
Generative Artificial Intelligence solutions to optimize all aspects of the Ad
Sales business
- Guide the technical approach for the design and implementation of successful
models and algorithms in support of expert cross-functional teams delivering on
demanding projects
- Conduct deep data analysis to derive insights to the business, and identify
gaps and new opportunities
- Run regular A/B experiments, gather data, and perform statistical analysis
- Work closely with software engineers to deliver end-to-end solutions into
production
- Improve the scalability, efficiency and automation of large-scale data
analytics, model training, deployment and serving
About the team
Sales AI is a central science and engineering organization within Amazon
Advertising Sales that powers selling motions and account team workflows via
state-of-the-art of AI/ML services. Sales AI is investing in a range of sales
intelligence models, including the development of advertiser insights,
recommendations and Generative AI-powered applications throughout account team
workflows. Basic Qualifications: - 5+ years of building machine learning models
for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred
Qualifications: - Experience with modeling tools such as 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 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
[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.
