GRIP Science (Global Risk Intelligence & Prevention) is the core detection engine within TSI Science. We build and operate state-of-the-art ML and AI models that identify and block bad sellers across Amazon's 24 global marketplaces. Our systems cover the full seller journey, from registration through every action on the marketplace, and score holistic risk across all active sellers. We push the frontier of adversarial detection by combining large-scale deep learning, graph-based reasoning, generative AI, and real-time inference to outpace bad actors who continuously evolve their tactics.
This is one of the most technically demanding and high-impact applied science problem spaces at Amazon. Your models directly shape marketplace integrity for hundreds of millions of customers worldwide.
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Ph.D. in computer science, machine learning, engineering, or related fields, or PhD and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 1+ years of scientists or machine learning engineers management experience
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
- Experience working and communicating with multiple stakeholders, C-level executives and cross-functional teams
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
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 – 183,800.00 - 248,700.00 USD annually