Senior Applied Scientist, Ring & Blink AI
Amazon
Senior Applied Scientist, Ring & Blink AI
Job Description
Are you fueled by a passion for computer vision, machine learning and AI, and are 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 meets 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
Locations
- Canada, ON, Toronto, Toronto, ON, Canada
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of building machine learning models for business application experienceintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience with neural deep learning methods and machine learningintermediate
Required Qualifications
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience with neural deep learning methods and machine learning (experience)
Preferred Qualifications
- - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
- - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
- - Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art (experience)
- - Experience in prototyping, designing, implementing and deploying large-scale computer vision applications and tools (experience)
- - Experience in developing highly-optimized CV and ML algorithms on resource-constrained platforms (experience)
- - Ability to juggle multiple priorities and dealing with ambiguities (experience)
- - Exceptional writing and verbal communications skills (experience)
Responsibilities
- - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets 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
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Senior Applied Scientist, Ring & Blink AI
Amazon
Senior Applied Scientist, Ring & Blink AI
Job Description
Are you fueled by a passion for computer vision, machine learning and AI, and are 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 meets 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
Locations
- Canada, ON, Toronto, Toronto, ON, Canada
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of building machine learning models for business application experienceintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience with neural deep learning methods and machine learningintermediate
Required Qualifications
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience with neural deep learning methods and machine learning (experience)
Preferred Qualifications
- - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
- - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
- - Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art (experience)
- - Experience in prototyping, designing, implementing and deploying large-scale computer vision applications and tools (experience)
- - Experience in developing highly-optimized CV and ML algorithms on resource-constrained platforms (experience)
- - Ability to juggle multiple priorities and dealing with ambiguities (experience)
- - Exceptional writing and verbal communications skills (experience)
Responsibilities
- - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets 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
Tags & Categories
Answer 10 quick questions to check your fit for Senior Applied Scientist, Ring & Blink AI @ Amazon.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs