Job Location: Arlington, VA
- PhD in Computer Science, Machine Learning, Mathematics, or related quantitative discipline.
- 10+ years of top quality machine learning research experience, with strong analytic and problem-solving skills.
- 10+ years of experience building and deploying groundbreaking machine learning solutions at scale.
- Expert level skills across many Machine Learning methodologies.
- Published research work in academic conferences or industry circles.
- Experience delivering complex end-to-end global ML solutions that run at very big scale.
- Experience with online advertising technologies and solutions.
Amazon Advertising sits at the intersection of e-commerce and advertising, developing new native advertising experiences that are a critical area of strategic focus for the company. The specific project details are confidential. We are seeking a Principal Applied Scientist to create and deliver ML innovation aimed at evolving Amazon’s Advertising solutions, inventing new shopper and advertiser experiences, and accelerating the pace of Machine Learning innovation and optimization. From influencing customer facing shopping experiences to helping suppliers grow their retail business and the auction dynamics that leverage native advertising, this role will drive one the fastest growing businesses in Amazon.
This team develops algorithms and systems that improve the performance and delivery of Amazon’s Display Advertising campaigns and automates campaign management using machine learning techniques. The team develops and deploying algorithms that drive ad selection, bidding, user response prediction, and automated campaign management. Customers are advertisers and publishers who do business with Amazon. We own the system for batch training of user response prediction models, while the ad serving engineering team owns the real-time model scoring component. This team owns the system for automated management of advertising campaigns, which can dynamically adjust parameters such as budget, bid prices, and targeting to optimize for campaign performance.
As a Principal Applied Scientist, you will:
- Own and drive the most complex and strategic solutions across the business; responsible for many billions in revenue.
- Act as a thought leader and forward thinker, anticipating obstacles to success and helping avoid common failure modes.
- Research, build, and deploy innovative machine learning solutions; working across all technical disciplines.
- Partner with science and engineering leaders across the business to identify and deliver innovative machine solutions; identify new opportunities, define the vision and execute solutions that continually delight customers.
- Hire, mentor, and guide senior scientists; partner with engineering leaders to build efficient and scalable solutions.
To be successful in this role you should be recognized as an industry expert who has experience defining a long-term science visions within the AdTech domain, driven fundamentally from the needs of customers, translating that direction into specific plans for research scientist, applied scientists, engineering and product teams. This is a role that combines science leadership, organizational ability, technical expertise, product focus and business understanding.
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.
Team video https://youtu.be/zD_6Lzw8raE
- PhD in Computer Science, Machine Learning, Mathematics, or related quantitative discipline.
- 10+ years of innovative machine learning research experience, with strong analytic and problem-solving skills.
- 10+ years of experience building and deploying groundbreaking machine learning solutions at scale.
- Expert level skills across many Machine Learning methodologies.
- Published research work in academic conferences or industry circles.
- Experience delivering complex end-to-end global ML solutions that run at very big scale.
- Experience with online advertising technologies and solutions.
- 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.
- This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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