Develop and optimize industrial computer vision solutions using classical vision, deep learning, geometric methods, and multimodal data. Responsibilities include model customization, object detection, tracking, segmentation, 3D reconstruction, pose estimation, stereo vision, data curation, production pipeline deployment, and evaluation of new data sources. The role requires collaboration across teams, research into state-of-the-art methods, and solving complex computer vision problems.
Aicadium is searching for a CV Scientist who is passionate about AI & Machine Learning in the computer vision space, to join our team and help lead Aicadium into new growth areas.
We seek high-energy team members with a positive attitude and a continual drive to learn and grow both professionally and personally.
Responsibilities
- Leverage hands-on experience in modeling to use, improve, fine-tune, and customise computer vision (CV) models, spanning both deep learning approaches (e.g. object detection, tracking, segmentation, visual embeddings) and classical techniques (e.g. multi-view geometry, camera calibration, feature extraction and matching).
- Design and implement geometric vision solutions where deep learning alone is insufficient — including 3D reconstruction, pose estimation, stereo vision, and structure-from-motion.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques. Apply expertise in working with images, video, 3D data, and sensor fusion for custom ML solutions.
- Stay up-to-date with the latest advancements and SOTA in computer vision.
- Enable new capabilities for Aicadium products and tools in the industrial computer vision (ICV) ML domain.
- Collaborate with cross-functional teams to develop innovative solutions.
- Address unsolved problems in ICV.
Required skills and experience
- Strong foundation in classical computer vision, including multi-view geometry, camera models and calibration, epipolar geometry, and image processing fundamentals.
- Hands-on experience with deep learning for CV, including object detection, object tracking, semantic/instance segmentation, and the use of visual embeddings for retrieval or matching tasks.
- Experience in data curation, model training, and customisation for solving real-world CV challenges.
- Proven experience building, optimizing, and deploying scalable, production-grade computer vision pipelines.
- Excellent proficiency in Python for CV and ML, and familiarity with common frameworks and libraries (e.g. PyTorch, OpenCV).
- 3+ years of full-time experience in CV and ML.
- Strong analytical and practical problem-solving skills.
- Excellent teamwork spirit and written and verbal communication skills.
- A drive to learn and master new technologies and techniques.
- Ability to work independently and with team members from different backgrounds.
- M.Sc. or Ph.D. in STEM+ area.
- Applicants must already have the legal right to work in Singapore. We are unable to provide work pass sponsorship for this position.
Good to have
- Experience with multimodal models and vision-language modeling.
- Exposure to VR/AR applications or multimodal data pipelines.
- Familiarity with SLAM, visual odometry, or real-time 3D perception systems.
- Strong work and publication record in the CV/ML domain.
AIcadium Singapore, Singapore, SGP Office
Singapore, Singapore
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