Amazon.com Services LLC

ML and Big Data Engineer SDE I, FinTech ATARI

Job description

  • Programming experience with at least one software programming language.
  • 1+ years of experience in software development

  • Bachelor in Computer Science Engineering or related field.
  • Strong problem solving skills.
  • Basic understanding in Computer Science such as Algorithms, Data Structures, Object Oriented Design, Databases.
  • Be able to code in an object oriented language - preferably in Java/Scala in a Linux environment.
  • Must have good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment.

Job summary Do you want to be part of a team dedicated to building machine learning applications that process billions of dollars a day using the latest technology? Do you want to measure the impact of your work in terms of millions of dollars? In Finance Technology, we build machine learning systems that look through billions of dollars in transactions from across Amazon. Our goal is to increase the adoption of machine learning across Finance. To do this, we build machine learning applications which use the latest techniques for forecasting, classification, and anomaly detection purposes. Our current applications range from finding anomalies in data all the way to predicting how much cash to keep in an account. In a typical day, you will work with machine learning scientists, other software engineers, and business groups across Amazon Finance. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world. Key job responsibilities In this role, you will participate in all parts of the software development process, from collaborating with customers on design to executing that design in a scalable and extensible way. You will have the opportunity to detect fraudulent transactions/vendors by applying machine learning techniques and help Amazon business every day. A day in the life In a typical day, you will work with machine learning scientists, other software engineers, and business groups across Amazon Finance. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world.
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis • Mindset and analytical skills to provide latency, TPS solutions. Continuous improvement and have an edge to always research on latest technologies • BS/MS in Computer Science or equivalent • Passion for building machine learning application 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.

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