About the role
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 on the Ring & Blink AI team, where we're not just offering a
job, but an opportunity to revolutionize safety and convenience in our
neighborhoods through innovations.
As an Applied Scientist, 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 customers. This position presents an
exceptional opportunity for you to pioneer and innovate in AI, making a
profound impact on millions of customers worldwide.
Key job responsibilities
Research and implement state-of-the-art computer vision, sensor fusion, and
machine learning methods to deliver high-quality, highly-optimized artifacts
that meet product specifications.
Establish scalable, efficient, and 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,
including efficient algorithms for resource-constrained computing platforms,
to drive continued scientific innovation.
Collaborate with product managers, engineers, and cross-functional teams to
design and implement computer vision and machine learning-based features for
Ring and Blink products.
Influence system design and product vision by making informed decisions on the
selection of technology, data sources, algorithms, and sensors.
Basic Qualifications
- 5+ 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.
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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Amazon
Amazon Web Services, like all Amazon businesses, is guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Our innovation starts with each customer’s challenge, so we are continually working on new and unprecedented opportunities to transform the way people live and work.
About the role
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 on the Ring & Blink AI team, where we're not just offering a
job, but an opportunity to revolutionize safety and convenience in our
neighborhoods through innovations.
As an Applied Scientist, 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 customers. This position presents an
exceptional opportunity for you to pioneer and innovate in AI, making a
profound impact on millions of customers worldwide.
Key job responsibilities
Research and implement state-of-the-art computer vision, sensor fusion, and
machine learning methods to deliver high-quality, highly-optimized artifacts
that meet product specifications.
Establish scalable, efficient, and 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,
including efficient algorithms for resource-constrained computing platforms,
to drive continued scientific innovation.
Collaborate with product managers, engineers, and cross-functional teams to
design and implement computer vision and machine learning-based features for
Ring and Blink products.
Influence system design and product vision by making informed decisions on the
selection of technology, data sources, algorithms, and sensors.
Basic Qualifications
- 5+ 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.
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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Amazon
Amazon Web Services, like all Amazon businesses, is guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Our innovation starts with each customer’s challenge, so we are continually working on new and unprecedented opportunities to transform the way people live and work.