drjobs Principal Applied Scientist Amazon Private Brands

Principal Applied Scientist Amazon Private Brands

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1 Vacancy
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Job Location drjobs

Seattle, WA - USA

Yearly Salary drjobs

$ 179000 - 309400

Vacancy

1 Vacancy

Job Description

The Amazon Private Brands Discovery team develops innovative machine learning solutions to enhance customer awareness of Amazons private brands and help customers discover products they love. This interdisciplinary team of scientists and engineers incubates and builds disruptive technologies tackling some of the most complex scientific challenges at Amazon. To achieve this we leverage a wide range of advanced techniques including Natural Language Processing (NLP) deep learning large language models (LLMs) multiarmed bandits reinforcement learning Bayesian optimization causal and statistical inference and econometrics to drive discovery throughout the customer journey. Our solutions are not only critical to the success of Amazons private brands but also serve as a leading example of discovery technologies across Amazon.

We are seeking a Principal Scientist to join our team and lead the development of cuttingedge machine learning models and algorithms that will drive innovative discovery solutions for Amazon Private Brands. In this handson role you will apply your expertise to propose solutions create software prototypes and successfully transition these prototypes into production systems using modern software development tools and methodologies. You will also be responsible for scaling these solutions to meet the growing and evolving needs of our customers. As a Principal Scientist you will play a pivotal role in shaping the vision design and roadmap for complex previously unsolved problems guiding solutions from inception to implementation. Strong verbal and written communication skills a selfdriven mindset and the ability to deliver highquality results in a fastpaced environment are essential for success in this role.


Key job responsibilities
You will be responsible for defining key research directions adopting or inventing new machine learning techniques conducting rigorous experiments publishing results and ensuring that research is translated into practice. You will develop longterm strategies persuade teams to adopt those strategies propose goals and deliver on them. You will also participate in organizational planning hiring mentorship and leadership development. You have a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in fullcycle development (conception design implementation testing to documentation delivery and maintenance).

10 years minimum of handson science application experience
PhD in a relevant technical field (or equivalent experience in some cases)
Strong publication track record

Experience programming in Java C Python or related language
Experience in building ML systems for online advertising


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 for more information. If the country/region youre applying in isnt 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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.


Required Experience:

Staff IC

Employment Type

Full-Time

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