Perception AI Engineer II in Melbourne

Perception AI Engineer II in Melbourne

Melbourne Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Research, design, and deploy real-time perception solutions for autonomous platforms.
  • Company: Shield AI, a leader in advanced perception technologies.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Exciting R&D projects in a dynamic and innovative environment.
  • Why this job: Join a cutting-edge team and make an impact in AI technology.
  • Qualifications: Experience with CNNs or transformers and proficiency in TensorFlow or PyTorch.

The predicted salary is between 63000 - 77000 $ per year.

Shield AI in Melbourne is seeking a curious and capable Deep Learning Engineer to advance perception technologies for autonomous and non-autonomous platforms.

You will research, design and deploy real-time perception solutions on edge devices and contribute to cutting-edge R&D projects.

You should have strong experience with CNNs or transformers, hands-on with Tensor Flow or Py Torch, and a Bachelor/Master/Ph D in CS or related fields.

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Perception AI Engineer II in Melbourne employer: Shield AI

At Shield AI, we pride ourselves on being an exceptional employer, particularly for our Staff Engineer role in Modelling and Simulation based in Australia. Our collaborative work culture fosters innovation and technical leadership, providing employees with opportunities for professional growth while contributing to mission-critical projects that protect service members and civilians. With a commitment to diversity and inclusion, we offer a supportive environment where your skills can thrive, alongside competitive benefits and the chance to work on cutting-edge technology in the defence sector.

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Contact Details:

Shield AI Recruitment Team

We think you need these skills to ace Perception AI Engineer II in Melbourne

Deep Learning
Perception Technologies
Real-time Solutions
Edge Devices
Convolutional Neural Networks (CNNs)
Transformers
TensorFlow