Applied Scientist, TSI Science
About the role
Join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud. You will analyze and model terabytes of data, create state-of-the-art algorithms to solve real world problems, own end-to-end business problems/metrics, directly impact the profitability of the company, and collaborate in a diverse team environment. The team is looking for a talented scientist who is passionate to build advanced machine learning systems that help manage the safety of millions of transactions every day and scale up operation with automation.
Key job responsibilities
- Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
- Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
- Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
A day in the life
You will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence. You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Track record of leading large-scale AI transformation projects
- Strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP
Pay
- USA, WA, Seattle: $142,800.00 - $193,200.00 USD annually
Benefits
- Sign-on payments and restricted stock units (RSUs)
- 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
- Parental leave