Sr. Applied Scientist, SCOT RL
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Job Location:
Bellevue, WA - USA
Yearly Salary:
$ 150400 - 260000
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Our team is at the forefront of machine learning research. Led by scientists including Dean Foster the team is dedicated to developing innovative RL algorithms and applying them to complex real-world challenges in Amazons global inventory and supply chain network. Our focus is not just on advancing theoretical knowledge but also on implementing these insights to optimize operations and enhance customer satisfaction.
We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged. The supply chain spans a wide range of operationsmanaging decisions that impact billions of dollars worth of inventory. For scientists passionate about impactful research in machine learning and AI our team offers a dynamic and fulfilling environment to make a tangible difference in the field and Amazons operations.
Key job responsibilities
* Design implement and evaluate innovative models agents and software prototypes.
* Collaborate with a team of experienced scientists to drive technological advancements.
* Develop innovative solutions to complex business problems in collaboration with partner teams.
* Contribute to Amazons global science community through collaboration and publication of ground-breaking research.
* Engage in research projects that contribute to the wider scientific community sharing findings through publications in top-tier journals and conferences.
A day in the life
As a part of our team you will be working alongside thought leaders like Dean Foster contributing to academic research and complex real-world applications. Your work will directly influence Amazons global inventory planning systems shaping decisions that affect billions of dollars worth of inventory and a wide array of product lines.
You will tackle complex inventory planning challenges using Reinforcement Learning contributing both to the theoretical aspect of the field and its practical applications. We value innovative thinking and the ability to approach problems from new perspectives.
- 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.
We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged. The supply chain spans a wide range of operationsmanaging decisions that impact billions of dollars worth of inventory. For scientists passionate about impactful research in machine learning and AI our team offers a dynamic and fulfilling environment to make a tangible difference in the field and Amazons operations.
Key job responsibilities
* Design implement and evaluate innovative models agents and software prototypes.
* Collaborate with a team of experienced scientists to drive technological advancements.
* Develop innovative solutions to complex business problems in collaboration with partner teams.
* Contribute to Amazons global science community through collaboration and publication of ground-breaking research.
* Engage in research projects that contribute to the wider scientific community sharing findings through publications in top-tier journals and conferences.
A day in the life
As a part of our team you will be working alongside thought leaders like Dean Foster contributing to academic research and complex real-world applications. Your work will directly influence Amazons global inventory planning systems shaping decisions that affect billions of dollars worth of inventory and a wide array of product lines.
You will tackle complex inventory planning challenges using Reinforcement Learning contributing both to the theoretical aspect of the field and its practical applications. We value innovative thinking and the ability to approach problems from new perspectives.
- 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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