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5 дней назад

Senior Staff Deep Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/UAE/Australia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Staff Deep Learning Engineer (AI): Researching and deploying state-of-the-art deep-learning perception capabilities for autonomous and non-autonomous platforms with an accent on computer vision, edge AI, and real-time solutions. Focus on designing novel network architectures, optimizing models for embedded production, and scaling deep learning operations with MLOps tools.

Location: Melbourne, Australia; on-site

Company

hirify.global is a venture-backed defense-tech company developing intelligent systems, including Hivemind autonomy software, aircraft, and simulation technologies.

What you will do

  • Research, design, and implement state-of-the-art perception capabilities for autonomous and non-autonomous platforms.
  • Take deep-learning solutions from initial concepts through field deployment.
  • Deploy the AI stack to edge devices and solve real-time perception challenges.
  • Collaborate with deep learning engineers to architect tools that scale deep learning operations.
  • Track research literature and contribute to R&D projects.

Requirements

  • 3–5 years of industry experience delivering deep-learning solutions for computer vision problems.
  • Strong knowledge of convolutional neural networks and/or transformers for classification, recognition, or segmentation.
  • Experience with recent foundation models and novel deep learning architectures.
  • Experience using TensorFlow, Caffe, PyTorch, or similar frameworks.
  • Bachelor’s, Master’s, or PhD degree in Computer Science or a related field.
  • Ability to work on-site in Melbourne, Australia.

Nice to have

  • Publications in leading computer vision, artificial intelligence, or machine learning conferences and journals.
  • C++ and/or Python development experience.
  • Experience with object detection, target tracking, SLAM, 3D reconstruction, camera calibration, behavior analysis, vision-language models, or large multimodal models.
  • Experience deploying and optimizing deep learning models in embedded production environments, including pruning and quantization.
  • MLOps experience and experience mentoring junior engineers or researchers.

Culture & Benefits

  • Work on defense technology designed to support service members and civilians.
  • Contribute to products used in real-world operations worldwide.
  • Employment is subject to a cleared background and possible reference check.
  • Equal opportunity workplace with reasonable accommodation available for disabilities or special needs.

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