ML Applied Scientist

Company:  Amazon
Location: Seattle
Closing Date: 02/11/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job ID: 2735030 | Amazon.com Services LLC

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customers every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems? If yes, then you may be a great fit to join the Amazon Account Integrity team.

The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms that allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high-judgment decision-making where we cannot apply automation.

- 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
- Communication and data presentation skills
- Problem-solving ability

PREFERRED QUALIFICATIONS

- A PhD in Computer Science, Machine Learning, Statistics or in a highly quantitative field
- 3+ years of industry experience in predictive modeling and large data analysis
- Strong skills with Python/Spark (or similar scripting language), Java/C++ and SQL
- Strong problem-solving and dive deep ability
- Strong communication, writing and data presentation skills
- Hands-on experiences with reinforcement learning or generative models

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.

Posted: July 16, 2024 (Updated about 13 hours ago)

#J-18808-Ljbffr
Apply Now
An error has occurred. This application may no longer respond until reloaded. Reload 🗙