Senior Applied Scientist, Computer Vision, Camera and Sensors at Amazon

Feedinkoo: Remote Jobs

Cambridge

Remote

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

Evi Technologies Limited in Cambridge is seeking an Applied Scientist with a strong deep learning background to help build industry-leading computer vision and multimodal perception models for Amazon devices.

You will develop novel algorithms, run experiments, and collaborate with engineers to deploy models at scale, shaping customer experiences through advanced vision technologies.

Qualifications

  • PhD required.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.
  • Experience in building machine learning models for business application.
  • Experience in applied research.

Responsibilities

  • Develop novel algorithms and modeling techniques for multimodal models with emphasis on computer vision.
  • Advance state-of-the-art in multimodal perception for devices.
  • Collaborate with engineers to deploy algorithms and models into products and services.

Skills

Java
C++
Python
Deep learning
ML modeling

Education

PhD

Tools

TensorFlow
PyTorch
scikit-learn
MxNet
Spark MLlib

Job description

The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices.

Key job responsibilities

As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices.

A day in the life

An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice.

About The Team

You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group.

Basic Qualifications
  • PhD
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience in building machine learning models for business application
  • Experience in applied research
Preferred Qualifications
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Do you have any Experience in implementing Computer Vision algorithms?

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.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company – Evi Technologies Limited

Job ID: A2923125

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