Job Information
Amazon Principal Applied Scientist, Automated Inventory Management in Bellevue, Washington
Description
Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of applying the most advanced machine learning approaches to solve real world problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us!
The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Applied Scientist to join our Multi-discplinary science team. Supply Chain Optimization Technologies (SCOT) owns Amazon’s global inventory planning systems. We decide what, when, where, and how much we should inbound to meet Amazon’s business goals and to make our customers happy. We decide how to place and move inventory within Amazon’s fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science team to delight customers by aiding in recommendations relevancy, and raise the profile of Amazon as a global leader in machine learning.
Key job responsibilities
Design, implement and evaluate models, agents and software prototypes
Technical leadership for a group of highly motivated and talented scientists
Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements.
Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
Raise the bar of scientific research by innovating and publishing high quality reports
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
Basic Qualifications
PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field
Publications at top-tier peer-reviewed conferences or journals in one of these areas: reinforcement learning, deep learning, and machine learning
Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages.
Strong algorithm development experience
Depth and breadth in state-of-the-art machine learning technologies
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Ability to convey rigorous mathematical concepts and considerations to non-experts
Ability to distill problem definitions, models, and constraints from informal business requirements
Ability to deal with ambiguity and competing objectives
Experience designing and supporting large-scale distributed systems in a production
Preferred Qualifications
Deep expertise in Machine Learning
Knowledge of the latest trends in related areas in Machine Learning and LLM
Proven track record of innovation in creating novel algorithms and advancing the state of the art
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.