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

Feedinkoo

United Kingdom

Remote

GBP 60,000 - 90,000

Full time

Yesterday
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Job summary

A leading technology company is seeking a Senior Applied Scientist with expertise in computer vision and deep learning. This role involves innovating algorithms and optimizing models to enhance the performance of various Amazon devices. Collaborating with a talented team, you will influence products directly through sophisticated multimodal perception capabilities.

Qualifications

  • Experience programming in Java, C++, Python, or related languages.
  • Experience in building machine learning models for business applications.
  • Experience in applied research.

Responsibilities

  • Develop novel algorithms and modeling techniques in computer vision.
  • Support science solution design and run experiments.
  • Implement algorithms and models in practice.

Skills

Deep learning methods
Machine learning
Programming in Java
Programming in C++
Programming in Python

Education

PhD

Tools

R
scikit-learn
Spark MLLib
MxNet
TensorFlow
numpy
scipy

Job description

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

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 through products and services that utilize 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

You will support science solution design, run experiments, research new algorithms, and find innovative ways to optimize the customer experience. You will set an example for the team on good science practices and standards. In addition to theoretical analysis and innovation, you will work closely with talented engineers and scientists to implement algorithms and models in practice.

About The Team

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

Basic Qualifications

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

Preferred Qualifications

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
  • 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 learn more about how we collect, use, and transfer 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 statuses.

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

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