Sr. Applied Scientist, DemandTech AdDelivery, Experience and Measurement

Want to work on building a Amazon Ads billion dollar business innovate on a new product and have a positive impact on millions of views while working with industry-leading technologies Were growing a team to support the Sponsored Ads business that powers the advertising experience for millions of viewers and advertisers daily.

Amazon is investing heavily in building a world-class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and are constantly challenging ourselves to create world-class products and an unparalleled shopping experience for our hundreds of millions of customers worldwide.

Key job responsibilities
We are building the next-gen smart ads campaign. At its core is anIntelligence Flywheel an architecture where every components output is designed to train models that improve every other component. The Model Layer that is meant to power every capability currently has no dedicated science ownership.

As the Senior Applied Scientist on this team you own the science that makes the flywheel turn. You will turn static threshold-based logic into self-improving closed-loop intelligence and define the decision policies that let the system act autonomously with advertiser trust. Concretely you will:
* Build predictive issue-detection modelsthat identify under-delivery over-delivery and performance degradation from campaign signalsbeforethey materially impact advertisers.
* Design the intervention-selection policy which autonomous action to take framed as a contextual bandit: choose observe update. Engineers implement action execution; you define the policy that selects actions.
* Establish causal attribution for autonomous optimization separating the effect of our interventions from organic performance change so improvements can be attributed and advertiser trust in autonomy can be earned.
* Integrate and adapt cross-model creative-quality product-relevance and budget signals into a unified advertiser-intelligence picture and adapt general-purpose partner models to our product reality via fine-tuning re-ranking or thin adaptation layers.
* Close recommendation and grading feedback loops define reward schemas for accept/reject and performance-vs-baseline signals correlate creative-quality scores with real campaign outcomes and feed empirical findings back to both our product and partner science teams.

You will work backwards from ambiguous business problems set the science roadmap for the Model Layer and partner closely with the teams software engineers who own the services pipelines and execution infrastructure so that model artifacts you produce are deployed and served in production. This is a high-leverage high-autonomy role: your outputs are consumed by multiple engineering workstreams at once and you set the abstractions the team builds on.


About the team
We are focused on goal-oriented AI powered workflows that help advertisers achieve their marketing objectives. We collect campaign goals surface relevant data at key decision points and provide reporting that validates decision-making. Our product suite guides advertisers in building campaigns with optimal targeting creative formats inventory and bid models that are highly likely to hit their goals reducing the need for manual intervention.

- 3 years of building machine learning models for business application experience
- PhD or Masters 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

- 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.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually