Staff Deep Learning Engineer (R5677)

Shield AI|08 Sep 2026

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Before you apply

Listed location: Melbourne

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by Shield AI; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

Job Description:

Join Our Team: Shape the Future of Perception Technology! 🚀

Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms?

At the forefront of innovation, we are pushing the boundaries of what’s possible, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge. Your skills will play a key role in driving transformative solutions that redefine the future.

Be part of a dynamic team where innovation meets impact. Let’s shape the future together!

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Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Frequently asked questions

Is the Staff Deep Learning Engineer (R5677) position at Shield AI remote?

The Staff Deep Learning Engineer (R5677) role at Shield AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.