Applied Scientist I – Machine Learning and AI, Amazon Music Catalog Team
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about applying machine learning and data-driven techniques to solve real-world problems at global scale Amazon is seeking an Applied Scientist who combines curiosity creativity and strong analytical skills to build models and algorithms that power customer experiences and business decisions.
As an Applied Scientist I you will work with senior scientists and engineers to design train and deploy ML models using large-scale datasets. You will experiment with modern techniques in supervised and unsupervised learning natural language processing computer vision or optimizationdepending on the teams focus area. Youll also have opportunities to learn Amazons scalable infrastructure experiment platforms and science best practices.
This role is ideal for someone early in their career who enjoys working in collaborative multidisciplinary teams and is excited by the opportunity to learn innovate and deliver measurable impact to customers.
Key responsibilities include:
Collaborate with scientists engineers and product managers to define and frame business problems as ML or optimization tasks.
Build train and evaluate models using large complex datasets.
Implement scalable data pipelines and model-serving systems.
Analyze experimental results draw insights and refine models to improve accuracy and robustness.
Communicate findings and recommendations to technical and non-technical audiences.
Continuously learn and apply new algorithms and techniques to improve existing systems.
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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.
As an Applied Scientist I you will work with senior scientists and engineers to design train and deploy ML models using large-scale datasets. You will experiment with modern techniques in supervised and unsupervised learning natural language processing computer vision or optimizationdepending on the teams focus area. Youll also have opportunities to learn Amazons scalable infrastructure experiment platforms and science best practices.
This role is ideal for someone early in their career who enjoys working in collaborative multidisciplinary teams and is excited by the opportunity to learn innovate and deliver measurable impact to customers.
Key responsibilities include:
Collaborate with scientists engineers and product managers to define and frame business problems as ML or optimization tasks.
Build train and evaluate models using large complex datasets.
Implement scalable data pipelines and model-serving systems.
Analyze experimental results draw insights and refine models to improve accuracy and robustness.
Communicate findings and recommendations to technical and non-technical audiences.
Continuously learn and apply new algorithms and techniques to improve existing systems.
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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.
Key Skills
- CNC
- Computer Software
- Equity Research
- Investment
- ITI
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