Senior Applied Scientist, Ring & Blink AI

Amazon Development Centre Canada ULC; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology firm in Toronto seeks a passionate machine learning engineer to join their Ring AI team. You will work on cutting-edge computer vision and machine learning initiatives, mentoring junior scientists and collaborating with top experts in the field. Ideal candidates hold a PhD or Master's degree with extensive experience in model building and programming. This role offers an exciting opportunity to innovate and impact millions globally.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Research and implement state-of-the-art computer vision and machine learning methods.
• Establish scalable, efficient, automated processes for data analysis and model development.
• Work collaboratively with scientists, engineers, and product managers.

Skills

Computer vision

Machine learning

AI algorithms

Programming in Java

Programming in C++

Programming in Python

Communication skills

Education

PhD or Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

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

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‑optimised CV and ML algorithms on resource‑constrained platforms
• Ability to juggle multiple priorities and dealing with ambiguities
• Exceptional writing and verbal communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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