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Senior AI Vision Engineer

3 weeks ago


Melbourne, Victoria, Australia beBeeDeepLearning Full time US$180,000 - US$240,000

About our organization

We are a defense technology company founded in 2015 with a mission to protect service members and civilians using intelligent systems.

Our AI pilot, Hivemind, has flown various aircraft and drones, including an F-16 fighter jet, V-BAT vertical takeoff and landing drone, and quadcopter Nova.

We currently support operations with the U.S. Department of Defense and allies.

Join our innovative division

Our division is at the forefront of innovation, pushing the boundaries of perception capabilities for both autonomous and non-autonomous platforms.

We turn advanced insights into real-time deep-learning-based solutions to address practical challenges at the edge.

Your expertise will drive transformative breakthroughs, redefining the future of technology.

Your Key Responsibilities:

  • Develop state-of-the-art perception capabilities through research and design.
  • Deploy our AI stack to edge devices.
  • Collaborate with other deep learning engineers to architect and develop tools for scaling up deep learning operations.
  • Stay updated with the latest literature and participate in R&D projects.

Required Skills and Qualifications:

  • Demonstrable experience in delivering deep-learning-based solutions to computer vision problems (3–5 years industry experience).
  • Strong understanding of convolutional neural networks and/or transformers for object classification, recognition, or segmentation.
  • Experience implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch, or similar).
  • Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields).

Benefits:

  • Publish research papers in world-leading conferences/journals (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR).
  • C++ and/or Python development experience.
  • In-depth understanding of the latest deep learning network architectures for computer vision and image processing.
  • Deploying deep learning models in embedded production contexts.

Other Opportunities:

  • Mentoring junior engineers/researchers in related fields.
  • Ongoing professional development in the field of computer science.