Amazon Development Centre Canada ULC
Machine Learning Science, Applied Science, alexa and amazon devices
Sr.AppliedScientist,RingAI
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Applied Scientist, Ring AI at Amazon Development Centre Canada ULC. Skills: Computer vision, Machine learning, AI. Research computer vision methods. Implement computer vision methods”
Industry & Context.
What They're Looking For.
Must Have
5+ years building ML models, Master's degree and 6+ years applied research, Experience programming Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
Modeling tools experience, Large scale distributed systems experience
What You'll Do.
Research computer vision methods
Implement computer vision methods
Research machine learning methods
Implement machine learning methods
Research sensor fusion methods
Implement sensor fusion methods
Establish scalable data analysis processes
Establish efficient data analysis processes
Establish automated data analysis processes
Establish scalable ML model development processes
Establish efficient ML model development processes
Establish automated ML model development processes
Establish scalable model validation processes
Establish efficient model validation processes
Establish automated model validation processes
Establish scalable gap analysis processes
Establish efficient gap analysis processes
Establish automated gap analysis processes
Provide technical leadership
Research new ML approaches
Drive scientific innovation
Collaborate with product managers
Collaborate with engineers
Collaborate with cross-functional teams
Design ML-based features
Implement ML-based features
Design computer vision features
Implement computer vision features
Influence system design
Influence product vision
How You'll Work.
Team & Collaboration
Cross-functional teams
Full Job Description
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, num
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