aimlroles

Computer Vision Scientist

aicadium Open · verified Oct 22, 2026
Singapore Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at aicadium. Singapore · full-time.

Pay not stated AI Research salary

RoleAI Research
SeniorityMid-level
LocationSingapore
EmploymentFull-time
PostedSep 14, 2026 · 5w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Adapt, refine and customize computer vision models, using both deep learning and classical methods
  • Build geometric vision systems for 3D reconstruction, pose estimation, stereo vision and structure-from-motion
  • Judge the accuracy and usefulness of new image and video data sources and collection methods
  • Develop tailored ML solutions with images, video, 3D data and sensor fusion for industrial computer vision
  • Work with other teams to tackle difficult industrial vision problems and add capabilities to products and tools

What you bring

  • At least three years of full-time work in computer vision and machine learning
  • A master's or doctoral degree in a STEM-related field
  • Strong practical grounding in classical vision, deep-learning methods, data preparation, model training and production pipelines
  • You use Python for CV and ML and have experience with tools such as PyTorch or OpenCV

Who this fits

This mid-level role suits someone who can work independently and alongside colleagues from different backgrounds. You must already be legally authorized to work in Singapore; work-pass sponsorship is unavailable.

From the employer

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.