Sr. Applied Scientist, Ring & Blink AI Full-time

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 cutting-edge 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

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | Sunnyvale, CA, USA

BASIC QUALIFICATIONS

– PhD, or Master’s degree and 6+ years of applied research experience

– 3+ years of building machine learning models for business application experience

– Experience programming in Java, C++, Python or related language

– – PhD with 4+ years’ experience or Master with 6+ years’ experience in conducting applied research in computer vision, machine learning, or related fields

– – 3+ years of experience in building and shipping computer vision and machine learning applications

– – 2+ years of experience in implementing computer vision algorithms using both toolkits and self-developed code

– – 1+ years of experience in C++ and/or Java, and as well as Python or similar scripting language

PREFERRED QUALIFICATIONS

– 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 dealing with ambiguities

– Exceptional writing and verbal communications skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.