5 дней назад
Senior Staff Deep Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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