Sr. Applied Scientist, Amazon Leo IDEA

Amazon; Remoto; EUR 127.000 - 221.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy is looking for an experienced individual to work on their satellite network optimization project. The role involves working with various technical teams to design scalable solutions and analyze large datasets to drive insights. Required qualifications include 3+ years in machine learning, strong programming skills in languages like Java, C++, or Python, and ideally a PhD or Master's degree. The estimated salary for this position ranges from $150,400 to $260,000 annually depending on location and experience.

Servizi

Comprehensive employee benefits

Equity options

Sign-on payments

Competenze

• 3+ years of experience building machine learning models.
• PhD or Master's degree with 6+ years of applied research experience.
• Strong programming skills in Java, C++, Python.

Mansioni

• Work with cross-functional teams to implement strategies.
• Design scalable solutions for optimization problems.
• Analyze satellite and business data to identify opportunities.

Conoscenze

Building machine learning models for business applications

Programming in Java, C++, Python

Analyzing data

Communicating technical insights

Formazione

PhD or Master's degree

Strumenti

R

scikit-learn

Spark MLLib

Tensorflow

Descrizione del lavoro

Amazon LEO is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

Key Responsibilities

In this role, you will:

• Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization.
• Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources.
• Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network.
• Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other.
• Analyze large amounts of satellite and business data to identify simulation and optimization opportunities.
• Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across LEO.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.