Computer Vision Scientist

AICADIUM SINGAPORE PTE. LTD.; High Street, Penarth; Vor Ort; GBP 69.408 - 104.112; Vollzeit

Zusammenfassung

Aicadium is seeking a CV Scientist motivated to drive AI & ML in computer vision, joining a dynamic team to expand growth areas. You will tackle real-world CV challenges, build scalable pipelines, and collaborate across teams to enable new product capabilities in industrial CV.

Candidates should have a strong foundation in classical CV, hands-on DL for CV, and a track record of practical problem solving. A PhD or MSc in STEM and the legal right to work in Singapore are required.

Qualifikationen

• 3+ years of full-time CV/ML experience.
• M.Sc. or Ph.D. in STEM+ area.
• Legal right to work in Singapore. No work pass sponsorship available.

Aufgaben

• Leverage modeling to develop and fine-tune CV models including DL and classical techniques.
• Design geometric vision solutions for 3D reconstruction, pose estimation, stereo vision, and SfM.
• Assess data sources and apply CV/ML to images, video, 3D data, and sensor fusion.

Kenntnisse

Classical CV fundamentals

Deep learning for CV

Python for CV/ML

PyTorch

OpenCV

CV/ML problem solving

Data curation and model training

Production CV pipelines

Ausbildung

M.Sc. or Ph.D. in STEM+

Tools

PyTorch

OpenCV

Jobbeschreibung

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.