Senior Applied Scientist , Sponsored Products

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Senior Applied Scientist for the Supply Science team in Sponsored Products. You will lead ML initiatives across ad experiences, optimize models, and collaborate with software engineers to deploy scalable solutions globally.

You will mentor other scientists, run experiments, and push innovative AI methods while balancing business impact and customer experience across Amazon search and detail pages worldwide.

Qualifications

• 3+ years of building machine learning models for business applications.
• 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.

Responsibilities

• Act as the 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 machine learning approaches.
• Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.

Skills

Java

C++

Python

Machine Learning

Data Analysis

Education

PhD

Master's degree

Tools

TensorFlow

Spark

Hadoop

MXNet

scikit-learn

NumPy

SciPy

Job description

Description

The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user‑experience problems in order to deliver relevant product ads on Amazon search and detail pages world‑wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.

Key job responsibilities

Search Supply and Experiences, within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay‑per‑click model–and leveraging this knowledge to help turn the flywheel of the business.

As a Senior Applied Scientist on this team you will:

• Act as the 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 machine learning approaches.
• Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.

A day in the life

The successful candidate will be a self‑starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast‑paced, high‑energy and ever‑changing environment. The drive and capability to shape the direction is a must.

About The Team

We are a customer‑obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon.

Basic Qualifications

• 3+ 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 https://amazon.jobs/en/benefits.

USA, NY, New York - 183,800.00 - 248,700.00 USD annually

USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10457080