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Senior Applied Scientist, Ad Performance and Delivery

Job ID: 1787150 | Services LLC


Job summary
In Amazon Advertising we are applying Machine Learning techniques at massive scale to optimize advertising performance. We are looking for talented applied scientists to perform research, prototyping, and experimentation with the latest ML techniques. In this role you will work together with other Applied Scientists and Data Scientists, Software and Data Engineers, and Product Managers on high impact initiatives in Amazon’s Multi Channel Advertising.

The Ad Performance and Delivery team owns the core systems for optimizing Ad Selection, Bidding, and Campaign Performance. These systems process billions of Ad impressions daily from across the internet to power our display advertising algorithms. You will play a significant role in building and improving ML-based optimization systems for Amazon’s display, audio, and video advertising. You will research the latest advances in ML prediction and forecasting techniques, construct prototypes to validate your hypothesis, work with engineers to turn these prototypes into production systems, and perform offline analysis and online A/B experimentation.

In this role, you will work directly with a highly motivated team of ML scientists and engineers who are passionate about applying data science and ML techniques to solve advertiser needs. You will also join the lively Amazon ML community, with opportunities to write papers, attend workshops and conferences (internal and external), participate in science events, and obtain early access to Amazon ML technologies.

As a Senior Applied Scientist on this team, you will:
· Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
· Lead technical efforts within this team and across other teams.
· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
· 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.
· Work closely with software engineers to assist in productionizing your ML models.
· Research new and innovative machine learning approaches.
· Recruit Applied Scientists to the team and mentor scientists on the team.

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


· 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


· 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.

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