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A rapidly growing AI company is seeking a
Deep Learning Research Engineer
to help advance their computer vision and re-identification systems used across large-scale real-world environments. This is a hands-on research and development role that bridges academic innovation with production deployment, offering significant technical ownership and long-term impact.
The Role
- Develop and improve deep learning models for detection, tracking, and re-identification tasks
- Research new architectures, training methods, and data processing techniques
- Prototype and evaluate ideas from cutting-edge computer vision papers
- Collaborate with C++ and engineering teams to transition R&D models into production
- Optimise inference pipelines for speed, scalability, and robustness
Skills & Experience
- Master's degree or PhD in Deep Learning, Computer Vision, Machine Learning, or a related field
- 3+ years of experience in applied deep learning (academic or industrial)
- Strong Python development skills, with experience using PyTorch or TensorFlow
- Solid grounding in mathematics for machine learning (linear algebra, optimisation, statistics)
- Familiarity with modern data science and image processing tools (OpenCV, NumPy, Pandas, Scikit-Learn)
- Ability to translate research insights into efficient, maintainable code
This is a great opportunity to work in an innovative AI environment, contributing to cutting-edge research while seeing your models deployed in production at scale.
If you're interested in this role and have all the necessary experience, then apply now. Otherwise, if you're looking for any other AI/ML and computer vision roles, then reach out to
Oscar Harper at IC Resources.
