MoveTheWorldForwardTogether

When you join Verizon

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

We have an immediate need for a Junior Machine Learning engineer to join our Data Products team. The Machine Learning engineer will collaborate to the in-house research and development of strategic data products. You will develop and deploy state-of-the-art machine learning algorithms to process in real-time data (videos, GPS/IMU sensors, etc.) from our connected vehicles and come up with innovative solutions to make our products smarter.

  • Work with data scientists and HW engineers to develop state-of-the-art machine learning and computer vision algorithms to be deployed on edge devices.
  • Design and implement efficient and accurate machine learning pipelines, bringing research results from prototypes to production, taking into account practical constraints and requirements.
  • Keep up-to-date with the latest technology trends and contribute to key innovation initiatives, publish and patent innovative technology.

What we’re looking for...

You’ll need to have:

  • Bachelor’s degree in Computer Science or another technical subject or relevant work experience.
  • Programming experience in C/C++, Python, or any other common language
  • Proven experience in the development of Machine Learning and/or Computer Vision algorithms and systems with modern ML tools.
  • Experience with agile software development methodologies and tools to deploy and monitor algorithms in production environments.
  • Knowledge of Unix/Linux environments.
  • Fluency in English both written and verbal.

Even better if you have one or more of the following:

  • Knowledge of Deep Learning frameworks such as TensorFlow and PyTorch.
  • Excellent problem-solving and algorithmic design skills.
  • Excellent technical skills.
  • Hands-on experience with mobile and/or embedded device programming
  • Experience with deployment of Deep Learning models for mobile/embedded devices: tools such as tflite, onnx or NN compilers; model optimization and pruning.
  • Familiar with scientific research, able to read a scientific paper and extract the main ideas.
  • Experience with cloud platforms (AWS, GC, Azure).
  • A demonstrated track record of successful delivery.

Moving the world forward together

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