Applied Scientist, Ring AI

Updated: 13 days ago
Job Type: FullTime
Deadline: 16 May 2024

17 Apr 2024
Job Information
Organisation/Company

Amazon
Research Field

Computer science
Researcher Profile

Recognised Researcher (R2)
Country

Netherlands
Application Deadline

16 May 2024 - 00:00 (UTC)
Type of Contract

To be defined
Job Status

Full-time
Hours Per Week

To be defined
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer 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 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.

- 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.

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

Amsterdam, NLD

BASIC QUALIFICATIONS

- PhD, or a Master's degree and experience in CS, CE, ML or related field

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

- Experience in building models for business application

- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux

- Experience in professional software development

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- Experience with machine learning techniques for fast and accurate extraction of visual features of humans (i.e. shape, pose, segmentation) from photographs

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.


Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Amazon
Country
Netherlands
Geofield


Where to apply
Website

https://illbeback.ai/job/applied-scientist-ring-ai-7/?utm_source=euraxess

STATUS: EXPIRED

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