Machine Learning Engineer for Financial Forecasting

hace 3 semanas


Madrid, Madrid, España Amazon A tiempo completo

Overview

Amazon is seeking a skilled Machine Learning Engineer to join our PXT Finance team. In this role, you will design and develop cutting-edge machine learning models for financial forecasting and expense planning.

Salary: $250,000 - $350,000 per year

Job Description

We are looking for an expert in machine learning to own the development of distributed simulations for population dynamics forecasting and expense planning. You will lead the implementation of state-of-the-art graph deep learning models for tasks such as node survival analysis and spatio-temporal time series forecasting.

You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate forecasting solutions into Amazon's cost planning processes. Experience in big data processing frameworks such as Apache Spark and GPU programming frameworks like PyTorch and CUDA is highly desirable.

About the Role

This is a high-impact role where you will develop applications that will be used by planners and decision makers across Amazon. As a key member of our team, you will push the boundaries of machine learning-based simulation and publish results in peer-reviewed journals.

Responsibilities

  • Lead the development of distributed simulations for population dynamics forecasting and expense planning
  • Implement state-of-the-art graph deep learning models for tasks such as node survival analysis and spatio-temporal time series forecasting
  • Collaborate with cross-functional teams to integrate forecasting solutions into Amazon's cost planning processes
  • Leverage big data processing frameworks to ingest high volume headcount data into machine learning workflows

BASIC QUALIFICATIONS

  • 3+ years of building models for business application experience
  • 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing

A Day in the Life

As a Machine Learning Engineer in Finance, you will focus on data science and machine learning engineering workflows. This means ownership of models from the idea stage all the way to production deployment. In addition to programming and system design, you'll also work with customers, partners, and leaders to guide project decisions.



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