Amazon
Senior Applied Scientist, Ring & Blink AI
Are you fueled by a passion for computer vision, machine learning, and AI, and eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we’re not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation.
You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world‑class AI scientists, engineers, product managers and other experts to develop industry‑leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!
Key job responsibilities
Research and implement the state‑of‑the‑art computer vision and machine learning methods to deliver high‑quality artifacts that meet product specifications.
Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and gap analysis.
Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.
Work in a collaborative environment with other scientists, engineers, product managers and cross‑functional teams.
Mentor and develop junior scientists on the team.
Basic Qualifications
3+ years of building machine learning models for business application experience.
PhD, or Master’s 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.
Preferred Qualifications
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.
Proven track record of innovation in creating novel algorithms and advancing the state‑of‑the‑art.
Experience in prototyping, designing, implementing and deploying large‑scale computer vision applications and tools.
Experience in developing highly‑optimized CV and ML algorithms on resource‑constrained platforms.
Ability to juggle multiple priorities and deal with ambiguities.
Exceptional writing and verbal communications skills.
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
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information.
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You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world‑class AI scientists, engineers, product managers and other experts to develop industry‑leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!
Key job responsibilities
Research and implement the state‑of‑the‑art computer vision and machine learning methods to deliver high‑quality artifacts that meet product specifications.
Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and gap analysis.
Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.
Work in a collaborative environment with other scientists, engineers, product managers and cross‑functional teams.
Mentor and develop junior scientists on the team.
Basic Qualifications
3+ years of building machine learning models for business application experience.
PhD, or Master’s 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.
Preferred Qualifications
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.
Proven track record of innovation in creating novel algorithms and advancing the state‑of‑the‑art.
Experience in prototyping, designing, implementing and deploying large‑scale computer vision applications and tools.
Experience in developing highly‑optimized CV and ML algorithms on resource‑constrained platforms.
Ability to juggle multiple priorities and deal with ambiguities.
Exceptional writing and verbal communications skills.
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
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information.
#J-18808-Ljbffr