Sr Applied Scientist, Sponsored Products and Brands
Job ID: 3094884 | Amazon.com Services LLC
Overview
Sponsored Products and Brands (SPB) is re-imagining the advertising landscape through generative AI technologies to transform how customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of reinventing advertising experiences, balancing human creativity with artificial intelligence to improve the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. If you're energized by solving complex challenges and pushing the boundaries of AI, join us in shaping the future of advertising.
About our team
SPB Ad Response Prediction team is a highly motivated, collaborative group with an entrepreneurial spirit and bias for action. We seek an experienced Applied Scientist with a machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale ML systems. In this role, you will partner with engineers and scientists to build advanced ML models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across Amazon platforms worldwide.
Key job responsibilities
* Develop scalable and effective machine learning models and optimization strategies to solve business problems.
* Conduct research on new ML modeling approaches to optimize all aspects of Sponsored Products business.
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
Basic Qualifications
* 3+ years of building machine learning models for business applications
* PhD, or Master\'s degree and 6+ years of applied research experience
* Experience with neural deep learning methods and machine learning
* Experience programming in Java, C++, Python or related language
Preferred Qualifications
* Experience with large-scale ML systems such as profiling and debugging and understanding of system performance and scalability
* Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy etc.
* Experience with popular deep learning frameworks such as MXNet and TensorFlow.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 $150,400/year in our lowest geographic market up to $260,000/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. Depending 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.
Posted information and additional notices vary by region and posting date. This description reflects the content provided in the original posting.
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