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. As a core product offering within our
advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors,
and brand owners succeed via native advertising, which grows incremental sales
of their products sold through Amazon. The SP team's primary goals are to help
shoppers discover new products they love, be the most efficient way for
advertisers to meet their business objectives, and build a sustainable business
that continuously innovates on behalf of customers. Our products and solutions
are strategically important to enable our Retail and Marketplace businesses to
drive long-term growth. We deliver billions of ad impressions and millions of
clicks and break fresh ground in product and technical innovations every day!
Basic qualifications:
- PhD degree with 4 years of applied research experience or a Masters degree and
6+ years of experience of applied research experience
- 3+ years of experience in building machine learning models for business
application
- Experience programming in Java, C++, Python or related language
Preferred qualifications:
- Advanced degree in Computer Science, Mathematics, Statistics, Economics, or
related quantitative field.
- Published research work in academic conferences or industry circles.
- Experience in building large-scale machine-learning models and infra for
online recommendation, ads ranking, personalization, or search, etc.
- Technical leadership in machine learning.
- Effective verbal and written communication skills with non-technical and
technical audiences.
- Experience working with real-world data sets and building scalable models from
big data.
- Thinks strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business, product, and
technology very well.
- Experience in computational advertising.
Why you will love this opportunity: Amazon is investing 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 ad 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 to help suppliers grow their retail
business and the auction dynamics that leverage native advertising; this is your
opportunity to work within the fastest-growing businesses across all of Amazon!
Define a long-term science vision for our advertising business, driven from our
customers' needs, translating that direction into specific plans for research
and applied scientists, as well as engineering and product teams. This role
combines science leadership, organizational ability, technical strength, product
focus, and business understanding.
Key job responsibilities
As a Senior Applied Scientist on this team, you will:
- Be the technical leader in AI and Machine Learning; lead efforts within this
team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop
insights that increase traffic monetization and merchandise sales, without
compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of
ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize,
and deploy your models into production; work closely with software engineers to
assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data
analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
- Recruit Applied Scientists to the team and provide mentorship. Basic
Qualifications: - 3+ years of building models for business application
experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures,
parsing, numerical optimization, data mining, parallel and distributed
computing, high-performance computing Preferred Qualifications: - Experience
using Unix/Linux
- Experience in professional software development
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.
