Amazon’s Tax engine organisation is looking for a passionate and innovative science leader to take its science initiatives to new heights.
Amazon Tax Engine platform backs all of the orders placed across Amazon e-commerce. We serve Amazon customers and sellers by correctly computing and collecting the tax amounts when an Amazon order is placed globally. We are responsible for correctly attributing products to the correct Tax categories applicable for the specific country, state and county, providing core calculation services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital. Our challenges include staying on top of the complex and ever-changing global tax legislations as well as computing calculations correctly and quickly, thousands of times a second, with accuracy close to 100%.
We use language models at scale for Tax classification of the diverse products in Amazon catalogue. We have a growing portfolio of science problems that includes balance of predictive and generative AI - including language comprehension, causal reasoning and active learning.
Key job responsibilities
1. Manage and mentor a talented team of senior Applied Scientists and SDEs.
2. Improve process and methodologies pertaining to deliverables of the team.
3. Strike the right balance between experimentation and delivery for sustained impact and long term gains.
4. Partner with stakeholders and customers to build roadmap for new products and services.
BASIC QUALIFICATIONS
1. 3+ years of scientists or machine learning engineers management experience.
2. Knowledge of ML, NLP, Information Retrieval and Analytics.
3. 3+ years of building machine learning models or developing algorithms for business application experience.
PREFERRED QUALIFICATIONS
1. Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
2. Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
#J-18808-Ljbffr