The Brand Protection applied science team is a centralized group of approximately 20 scientists with PhDs from a wide range of quantitative backgrounds. We sit within Selling Partner Services and work closely with product, engineering, and fellow science teams to build AI systems that safeguard brand owners and customers across Amazon's marketplace. You will have the opportunity to work with generative AI and the latest multi-modality models, and your innovations can lead to publications in top journals — making this a place where applied research and customer impact go hand in hand.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
- 3+ years of building machine learning models for business application experience
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of applied research experience
- 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.
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, WA, Seattle – 167,100.00 - 226,100.00 USD annually
