Applied Scientist II, Campaign and Creative
Share
Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Were on a journey to build something new a green field project! Come join our team and build new discovery and shopping products that connect customers with their vehicle of choice. Were looking for a talented Applied Scientist to join our team of product managers designers and engineers to design and build innovative automotive-shopping experiences for our customers. This is a great opportunity for an experienced engineer to design and implement the technology for a new Amazon business. We are looking for a Applied Scientist to design implement and deliver end-to-end solutions.
We are seeking passionate hands-on experienced and seasoned Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding pose estimation class imbalanced classifiers identification and segmentation.. You will drive ideas to products using paradigms such as deep learning semi supervised learning and dynamic learning.
As a Applied Scientist you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems distill customer requirements and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic addition to coming up with novel solutions and prototypes you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth scientific vision project management skills great communication skills and a drive to achieve results in a unified team environment.
You should enjoy the process of solving real-world problems that quite frankly havent been solved at scale anywhere before. Along the way we guarantee youll get opportunities to be a bold disruptor prolific innovator and a reputed problem solversomeone who truly enables AI and robotics to significantly impact the lives of millions of consumers.
Key job responsibilities
Architect design and implement Machine Learning models for vision systems on robotic platforms
Optimize deploy and support at scale ML models on the edge. Influence the teams strategy and contribute to long-term vision and roadmap.
Work with stakeholders across science and operations teams to iterate on design and implementation.
Maintain high standards by participating in reviews designing for fault tolerance and operational excellence and creating mechanisms for continuous improvement.
Prototype and test concepts or features both through simulation and emulators and with live robotic equipment
Work directly with customers and partners to test prototypes and incorporate feedback
Mentor other engineer team members.
A day in the life
- 4 years of building machine learning models for retail 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
- Demonstrated expertise in computer vision and machine learning techniques.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
We are seeking passionate hands-on experienced and seasoned Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding pose estimation class imbalanced classifiers identification and segmentation.. You will drive ideas to products using paradigms such as deep learning semi supervised learning and dynamic learning.
As a Applied Scientist you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems distill customer requirements and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic addition to coming up with novel solutions and prototypes you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth scientific vision project management skills great communication skills and a drive to achieve results in a unified team environment.
You should enjoy the process of solving real-world problems that quite frankly havent been solved at scale anywhere before. Along the way we guarantee youll get opportunities to be a bold disruptor prolific innovator and a reputed problem solversomeone who truly enables AI and robotics to significantly impact the lives of millions of consumers.
Key job responsibilities
Architect design and implement Machine Learning models for vision systems on robotic platforms
Optimize deploy and support at scale ML models on the edge. Influence the teams strategy and contribute to long-term vision and roadmap.
Work with stakeholders across science and operations teams to iterate on design and implementation.
Maintain high standards by participating in reviews designing for fault tolerance and operational excellence and creating mechanisms for continuous improvement.
Prototype and test concepts or features both through simulation and emulators and with live robotic equipment
Work directly with customers and partners to test prototypes and incorporate feedback
Mentor other engineer team members.
A day in the life
- 4 years of building machine learning models for retail 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
- Demonstrated expertise in computer vision and machine learning techniques.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
Required Experience:
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
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
