Computer Vision Scientist

Aicadium Singapore; Região Norte; On-site; BRL 485,000 - 768,000; Full time

Job summary

Aicadium Singapore is seeking a CV Scientist to advance AI and Machine Learning in the computer vision space. You will drive CV model development, contribute to 3D vision, and collaborate with cross-functional teams to solve real-world problems.

The role requires 3+ years in CV/ML, a MSc/PhD in STEM+, and Python proficiency with PyTorch and OpenCV. Applicants must have legal right to work in Singapore; hands-on data curation and production-grade pipelines are valued.

Qualifications

• 3+ years of full-time CV/ML experience.
• MSc/PhD in STEM+ area is required.
• Proficient in Python for CV/ML tasks.
• Experience building production-grade CV pipelines.

Responsibilities

• Leverage modeling to develop and refine CV models across DL and classical methods.
• Design 3D vision solutions: reconstruction, pose estimation, stereo vision.
• Assess data sources and apply image/3D data for ML systems.
• Stay updated with state-of-the-art CV advancements.
• Enable CV capabilities for Aicadium products in industrial CV ML.
• Collaborate with cross-functional teams to solve problems.

Skills

Classical CV fundamentals

Deep learning for CV

Python for CV/ML

Data curation & model training

Production CV pipelines

Teamwork & communication

Independent work

Education

MSc/PhD in STEM+

Tools

PyTorch

OpenCV

Job description

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.