27 дней назад
Staff Deep Learning Engineer (R5677)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Deep Learning Engineer (AI): Researching and deploying deep-learning-based perception capabilities for autonomous and non-autonomous platforms with an accent on computer vision, foundation models, and edge AI deployment. Focus on designing novel network architectures, scaling deep learning operations, and optimizing models for embedded production environments.
Location: Melbourne, Australia; on-site
Company
is a venture-backed defense-tech company developing intelligent systems, including 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 perception concepts from research through deployment as field-ready solutions.
- Deploy the AI stack to edge devices.
- Collaborate with deep learning engineers to architect tools that scale deep learning operations.
- Track current research 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 working with recent foundation models.
- Experience implementing novel deep learning architectures with 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.
- Experience with MLOps systems or mentoring junior engineers and researchers.
Culture & Benefits
- Work on intelligent systems intended to support service members and civilians.
- Collaborate in a research- and innovation-focused environment.
- Employment is subject to a cleared background and possible reference check.
- Equal opportunity workplace with accommodation available for applicants with disabilities or special needs.
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