128 Computer Vision jobs in Singapore

Responsibilities:

1. Image classification and recognition, face recognition, key point detection, image processing

2. Optimize computer vision-related algorithms to improve model accuracy and computing efficiency, so that models can run efficiently at the edge where computing power is limited and achieve accuracy rates that meet scene requirements

Requirements:

1. Bachelor's degree or above, math, computer-related majors, preferably from a prestigious school; familiar with Linux operating system, computer network, etc., solid basic knowledge

2. In-depth understanding of deep learning models

3. strong hands-on skills, ACM, ICPC, NOI/IOI, top coder, and Kaggle competition winners are preferred, experience in image video understanding, image classification, object detection, automatic data labeling, face detection, and recognition algorithms are preferred

4. Proficiency in Python, at least one framework among Caffe/Pytorch/Mxnet/Tensorflow, C++ programming ability is preferred

PURPOSE/SUMMARY :

We are currently seeking a Senior Computer Vision Engineer to join our top-notch Research & Development team. This is an exciting time to join us and to be part of a leading edge team that is pioneering a new era of Performance-Guided Surgery. You will help lead the development of a next-generation vision-assisted surgical robotics platform. As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest Machine Learning and Computer Vision algorithms, in a multidisciplinary and dynamic environment. We are looking for an individual who is a team player and a strong communicator. Someone who has great problem-solving skills, and who has a drive for creativity and innovation, as well as determination and persistence. Someone who has a deep understanding of algorithms and image processing and will take ownership of various Vision/deep learning/AI algorithms utilizing medical imaging data & sensory data through exploration, development, optimization, validation & integration.

ESSENTIAL DUTIES, RESPONSIBILITIES AND AUTHORITY:

• Work with a multi-disciplinary team of experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
• Design and implement deep learning models to detect and classify various scenes, activities, and human-object interactions.
• Experiment with architectures such as CNNs, RNNs, transformers, and hybrid models suited for video tasks.
• Work on multimodal models if combining video data and other sensors.
• Contribute to the team's methodologies, best practices and toolset, as well as sharing and receiving constructive feedback
• Understand algorithmic requirements and convert these into usable solutions
• Utilize existing research, literature and study of existing state of the art tools to develop best in class solutions
• Develop mathematical and numerical tools to support development
• Manage large amounts of data and process into usable information
• Evaluate the performance on benchmarks and improve as necessary

MINIMUM COMPETENCE (EDUCATION, EXPERIENCE, AND SKILL) REQUIREMENTS:

QUALIFICATIONS:

• MSc in Computer Science or related fields (EE, Math, Physics, etc.); Ph.D - Advantage.
• 5+ years of hands-on experience with Computer Vision algorithms.
• Strong background in machine learning and deep learning.
• Proficiency in C++ and Python.
• Ability to initiate and lead machine learning projects end to end.
• Experience with TensorFlow or PyTorch
• Familiarity with IPP, OpenCV and similar libraries

• Deep domain experience and hands-on knowledge or academic research background in at least one of the following is an advantage:
  

• GNN

• Scene Understanding

• Video Understanding

• Experience with Linux.

• Ability to work in a team environment
• Good verbal and writing capabilities in English
• Read and understand the relevant literature and professional terms
• Teamwork and high communication skills

ADDITIONAL KNOWLEDGE, SKILLS AND ABILITIES (OPTIONAL):

• Experience with using LMM/VLM(Vision-Language) frameworks – Advantage.
• Familiar with ML tools such as W&B or ClearML - Advantage.
• Experience in a global medical device company - Advantage.
• Work in a multidisciplinary environment of the surgical robotic system

QUALIFICATIONS:

• MSc in Computer Science or related fields (EE, Math, Physics, etc.); Ph.D - Advantage.
• 5+ years of hands-on experience with Computer Vision algorithms.
• Strong background in machine learning and deep learning.
• Proficiency in C++ and Python.
• Ability to initiate and lead machine learning projects end to end.
• Experience with TensorFlow or PyTorch.
• Familiarity with IPP, OpenCV and similar libraries.
• Deep domain experience and hands-on knowledge or academic research background in at least one of the following is an advantage:
• GNN
• Scene Understanding
• Video Understanding
• Experience with Linux.
• Ability to work in a team environment.
• Read and understand the relevant literature and professional terms.
• Teamwork and high communication skills.

Job Types: Full-time, Permanent

Benefits:

• Health insurance

• Collaborate with a multi-disciplinary team to deliver end-to-end products, from ideation to integration in production environments.
• Collect and assess data, explore algorithmic approaches, and develop, test, and validate deep learning models.
• Experiment with architectures like CNNs, RNNs, transformers, and hybrid models for video-related tasks.
• Design and implement deep learning models for scene detection, activity classification, and human-object interaction analysis.
• Develop mathematical and numerical tools to support algorithm development.
• Requirements :
  Bachelor’s in Computer Science, EE, Math, Physics, or related fields; Ph.D. is an advantage.
  5+ years of hands-on experience with Computer Vision algorithms.
  Strong expertise in machine learning and deep learning.
  Proficient in C++ and Python programming.
  Proven ability to initiate and lead machine learning projects from start to finish.
  Experience with TensorFlow or PyTorch frameworks.
  Familiarity with IPP, OpenCV, or similar libraries.
  Advantage: Deep expertise or academic research in GNN, Scene Understanding, or Video Understanding.
  Experience working in Linux environments.
  Strong team collaboration skills.
  Excellent verbal and written communication skills in English.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are looking for an AI Engineering Intern (Computer Vision & Deep Learning) to join our Computer Vision Model Engineering Team. This is a unique opportunity to contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

You'll work alongside a dynamic team, gaining hands-on experience and contributing to real-world AI projects that optimize the machine learning lifecycle.

As an AI Engineering Intern, you will:

• Gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
• Work closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks, such as image classification, segmentation, object detection, action recognition, and more.
• Work with ML pipelines that support model deployment, assisting with tasks like model integration, data versioning , automated training, and testing.
• Contribute to the optimization of models and pipelines by conducting experiments, analyzing
• results, and helping to improve model performance.
• Gain exposure to modern tools like Docker, CI/CD , and cloud platforms to support scalable, reliable model deployment.
• Dive into cutting-edge research and gain insights into model architecture optimization, scalability, and challenges related to real-time application in Computer Vision.

Requirements:

• Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
• Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
• Familiarity with at least one deep learning framework such as TensorFlow, PyTorch , or similar.
• Strong analytical thinking and problem-solving skills , with an emphasis on improving software pipelines .

Preferred (Bonus Skills):

• Familiarity with building and optimizing ML pipelines , including data preprocessing, model training, testing , and deployment .
• Experience in software engineering practices like version control (Git), CI/CD pipelines , or Docker for containerization.
• Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
• Knowledge of computer vision concepts and libraries (e.g., OpenCV).
• Interest in exploring advanced topics like Generative AI, multi-modal learning , or real-time video analytics .

Duration:

• Internship duration: Minimum 4 months (negotiable based on the candidate's schedule).
• Availability: At least 4 days a week , with a preference for full-time commitment.
• Flexible start and end dates to accommodate exams or personal schedules.

Note : Due to the nature of the role, candidates must be based in Singapore or have relevant experience studying/working in Singapore.

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are looking for a highly skilled and experienced Computer Vision and Generative AI engineer to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.

Description

In this role, you will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms. This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.

Responsibilities

• You'll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art.
• Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both
• Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results
• Partner closely with software engineers to implement these models in our production environment to enable product features for worldwide audience
• Communicate results of analyses to business partners and executives
  Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions engineer to real business problems

Minimum Qualifications

• 5+ years building NLP/AI software professionally and successfully releasing to customers
• 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar field
• A strong track record of shipping products and publications / patents
• Strong experience in 3D Computer Vision algorithms
• Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models
• Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras)
• Solid programming skills with C/C++ and Swift
• Ph.D. in Computer Science, Machine Learning, Computer vision or related field or M.S. in related field applying Computer Vision machine learning

Preferred Qualifications

• Experience in machine learning, preferably in 3D computer vision applications
• Solid foundation in 3D geometry and linear algebra
• Experience with human factors, especially eye tracking and human input interaction.
• Experience in 3D graphics and rendering
• Experience in modern Novel View Synthesis methods, suchas NeRF, Gaussian Splatting, etc., is a plus
  Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design

Submit CV

Senior Software Engineer (Computer Vision Engineer)

• Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• Design and architect computer vision systems to meet specific requirements and objectives.
• Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models.
• Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
• Evaluate the performance of computer vision models using appropriate metrics and benchmarks.
• Integrate computer vision algorithms and models into larger software systems or products.
• Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems.
• Document design specifications, technical requirements, and implementation details for computer vision solutions.
• Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
• Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems.

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
• Proven experience in developing and implementing computer vision algorithms and models.
• Proficiency in programming languages such as Python or C++.
• Strong understanding of image and video processing techniques and methodologies.
• Familiarity with computer vision libraries such as OpenCV.
• Experience with data collection, annotation, and preparation for model training.
• Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
• Experience integrating computer vision solutions into software systems or products.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Our client, a leading name in the global aviation industry, is embarking on a transformative digital journey to redefine how data and artificial intelligence power the future of air travel. We are seeking an accomplished and visionary Artificial Intelligence & Data Vice President to lead and scale enterprise-wide AI, data science, and data engineering capabilities.

This is a rare opportunity to drive innovation at scale — developing advanced AI solutions, pioneering large language model (LLM) and generative AI initiatives, and shaping a data-driven culture across commercial, operational, and customer-facing functions.

As the Artificial Intelligence & Data Vice President, you will define and execute the enterprise AI and data strategy while leading a high-performing team of data scientists, AI engineers, and data professionals. You will serve as a thought leader across the organization, bridging business vision and cutting-edge AI technologies to deliver measurable impact.

• Develop and implement the organization's AI and data strategy in alignment with business goals.
• Lead, mentor, and expand a high-performing multidisciplinary AI and data team.
• Drive innovation in AI/ML, including large language models (LLMs), generative AI, and AI agent architectures.
• Oversee enterprise data architecture, governance, and infrastructure across hybrid cloud environments.
• Champion MLOps, LLMOps, and DataOps best practices for scalable, secure, and high-performing systems.
• Build partnerships with hyperscalers, technology vendors, and research collaborators to strengthen internal capabilities.
• Represent the company in AI and data forums, standards groups, and public-private collaborations.

Key Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related discipline (PhD preferred).
• Over 15 years of experience in enterprise AI/data systems, including more than 5 years in senior leadership or executive roles.
• Proven success in deploying large-scale AI systems involving LLMs, MLOps, and data platforms.
• Strong technical foundation in cloud and distributed systems (AWS, GCP, Azure).
• Excellent leadership, communication, and stakeholder management abilities.
• Demonstrated experience building and motivating high-performing technical teams.
• Prior exposure to aviation, travel tech, or complex enterprise environments will be an advantage.

This role offers the opportunity to lead one of the most forward-looking AI and data transformations in the aviation sector. You will shape strategy, influence technology direction, and collaborate with global partners — driving innovation that enhances customer experiences, operational efficiency, and business intelligence at scale.

If you are a visionary AI and data leader passionate about transforming industries through technology and innovation, we invite you to apply and be part of this transformative journey.

Interested candidates can forward their CVs in MS Word format to -

Reg No. R

Triton AI Pte Ltd

License no. 21C0661

Skywork AI Singapore welcomes enthusiastic and forward-thinking research scientists to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore's R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us to the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents.
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Relevant work experience in a University or industrial settings, with a primary focus on AI exploration.
• Experience in leading projects and teams
• Hold an esteemed Ph.D. degree in computer science, statistics, engineering, applied mathematics, data science, or related fields.
• Being acknowledged as a first-author contributor to prestigious peer-reviewed conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and top-tiered journals (e.g., TPAMI, JMLR, AIJ), or have authored publications in renowned CNS (Cell, Nature and Science).
• Proficiency in any prominent differentiable programming frameworks, such as PyTorch, TensorFlow, and JAX, is highly desirable.
• Showcase a track record of leadership in spearheading substantial research projects.
• Attain esteemed recognition within the academic and professional community.
• Proven track record of delivering high-impact research outcomes.
• Preferrable honored recipient of best paper awards or equivalent in top-tiered conferences.
• Preferrable celebrated victory in international academic competitions.

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to - to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field