Sr. Applied Scientist, Amazon Leo IDEA
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Job Location:
Bellevue, WA - USA
Yearly Salary:
$ 150400 - 260000
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Amazon LEO is Amazons 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.
The Amazon LEO Infrastructure Data Engineering Analytics and Science team owns designing implementing and operating systems/models that support the optimal demand/capacity planning function. We are looking for a talented scientist to implement LEOs long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping LEO execute on its business plans globally. As one of our valued team members you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results.
Key job 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.
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.
- 3 years of building machine learning models for business application experience
- PhD or Masters 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
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Amazon LEO Infrastructure Data Engineering Analytics and Science team owns designing implementing and operating systems/models that support the optimal demand/capacity planning function. We are looking for a talented scientist to implement LEOs long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping LEO execute on its business plans globally. As one of our valued team members you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results.
Key job 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.
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.
- 3 years of building machine learning models for business application experience
- PhD or Masters 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
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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