principal machine learning Applied Scientist tech_leadership 10+ yrs Master's · Posted Oct 8, 2024
$228,700 – $309,400
USD per year

About this role

Amazon is hiring a principal-level Applied Scientist in the machine learning function based in Palo Alto, CA. The posting calls out experience with Python, Java, R, Spark and roughly 10+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $228,700–$309,400 per year.

Role
Applied Scientist
Function
machine learning
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Palo Alto, CA
Experience
10+ years
Education
Master's degree
Department
Applied Science
Posted
Oct 8, 2024
AI Summary
Lead a team of scientists and engineers building machine learning and optimization solutions for Amazon's Stores business. Develop scientific models, benchmarks, and services to improve delivery speed, reduce costs, and optimize seller incentives. Requires PhD or Master's with 10+ years applied research experience in machine learning, causal inference, or quantitative fields, plus hands-on expertise with deep learning and LLMs.

More roles at Amazon

Engineering Operation Technician, Data Center Operations
Wharton, TX · mid
AWS Networking
Engineering Operation Technician, Data Center Operations
Wharton, TX · mid
AWS Networking
Strategic Procurement Specialist, Delivery Services
Sydney, Australia · mid
SQL MySQL
Engineering Operation Technician, Data Center Operations
Wharton, TX · mid
AWS Networking
事前選考エントリー(カスタマーサービスアソシエイト職)現在募集求人はありません
Virtual, Japan · mid
All Amazon jobs →

Job description

from Amazon careers

Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2024, we are focused on economics and science in areas related to (1) improving delivery speed and lowering cost-to-serve, (2) seller fees and incentives, and (3) emerging machine learning using LLMs. We also have some ongoing and highly leveraged collaborations that help partner teams inside Amazon short-circuit months of R D or otherwise look around corners. We are looking for a seasoned Applied Science leader to build and deliver cutting-edge science and engineering solutions to improve our Stores business. In this role, you will lead a team of scientists and engineers with backgrounds in machine learning,…

This is an excerpt. Read the full job description on Amazon careers →
All machine learning jobs machine learning in Palo Alto, CA Jobs in Palo Alto, CA machine learning salaries machine learning career path
All Amazon Jobs Browse machine learning roles principal positions