Applied Scientist
DESCRIPTION
Ring is on a mission to keep people close to what's important. From the video doorbell to the DIY Ring Alarm system, Ring’s smart home security product line offers users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone – while working hard to bring communities together. Ring is an Amazon company. For more information, visit (https://ring.com/about).
Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique possibility to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer.
You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing efficient computer vision algorithms on resource-constrained computing platforms on edge. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.
The role is open for multiple locations across Europe.
BASIC QUALIFICATIONS
- Degree in Computing, Machine Learning or related area.
- Applied science experience.
- Proven knowledge and experience of computing fundamentals in algorithm design, complexity analysis, data structures, problem solving and diagnosis.
- Knowledge and experience in machine learning and data science.
- Proficiency in at least one modern programming language (e.g,. Java, C/C++, C#).
- Proficiency in at least one scripting language (e.g. Python, Ruby, Perl)
- Experience with Linux/Unix systems
PREFERRED QUALIFICATIONS
- Experience with computer vision.
- Experience of working with large datasets and scaling ML models, and/or information extraction from unstructured sources.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.