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Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. 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. We optimize product placements using a combination of machine learning and natural language processing (NLP) algorithms operating in low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
We are seeking an Applied Science Manager who combines technical excellence in machine learning with strong leadership and product intuition, and who has a track record of leading teams of applied scientists and machine learning engineers. This person will be a hands-on technical leader who excels at driving innovation, fostering a data-driven culture, and leading through ambiguity to deliver measurable impact.
In this role, you will:
Lead a team of applied scientists and ML engineers to deliver AI-powered solutions that directly impact product discovery and advertiser success.
Foster a data-driven culture where hypotheses are tested, insights are derived from robust analysis, and decisions are grounded in evidence.
Set technical and scientific direction by defining the vision, roadmap, and success metrics for high-impact ML and AI projects.
Advance scientific excellence by promoting innovation, rigor, and engineering craftsmanship across both science and engineering disciplines.
Drive execution through planning (sprint, quarterly, and annual), goal-setting, stakeholder alignment, and cross-team collaboration.
Provide technical guidance and leadership through ambiguous problem spaces, helping the team navigate experimentation, make sound scientific and engineering decisions, and communicate technical results and business impact effectively to senior leadership.
Mentor and grow talent by hiring top-tier scientists and engineers, and providing ongoing coaching for both career growth and technical development.
Basic Qualifications
4+ years of applied research experience
3+ years of scientists or machine learning engineers management experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Experience programming in Java, C++, Python or related language
Preferred Qualifications
Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
Experience with Big Data technologies such as AWS, Hadoop, Spark, Hive, Lucene/SOLR, or Kafka
Published research work in academic conferences or industry circles.
Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.