Total 12 job vacancies by Cynapse Pte. Ltd.

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic 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. 

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 a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

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 seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

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 seeking a talented and highly motivated Senior Project Manager to join our AI Product group. You will conform to high standards of planning and management, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities

The Senior Project Manager is responsible for the delivery of Vision AI Software Projects/Programs in Singapore and other countries as well as managing (indirectly) technical and operational team members:

• Acting as a single point of contact for assigned projects
• Lead the project planning, resourcing and scheduling, define project tasks and milestones.
• Ensure projects are delivered on time, and provide timely reports on project status and activities
• Oversee requirements gathering and validation, solution development and testing, deployment, UAT and solution commissioning
• Manage vendors, subcontractors, partners and other stakeholders
• Assist overseas project manager counterpart (in EST time zone) with project delivery.
• Involved in the Pre-sale and Sale stages
• Optional: Manage/Guide PM Intern

Qualifications

• Degree in IT/Engineering/Project-Management
• Scrum Master and/or PMP certification (Mandatory)
• At least 4 years of experience in IT Project Management, preferably with external customers, at the scale of either: 4 or more man-years / at least $250K budget
• Experience in delivering projects/programs with multi-phases and compressed time frame.
• Experience with vendors and partners management
• Innovative, motivated and a quick learner
• Ability to work well in a team and take end-to-end ownership of activities
• Attention to detail, curiosity, and passion for technology
• Bonus: AI-related technical background/experience with software development

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates who are only based in Singapore

Job Type: Full-time

Benefits:

• Health insurance

Experience:

• IT Project Management: 4 years (Required)
• vendors and partners management: 2 years (Required)
• multi-phased projects: 2 years (Required)

License/Certification:

• PMP (Required)
• Certified Scrum Master (Preferred)

Work Location: In person

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 seeking a talented and highly motivated Senior Vision AI Engineer to join our AI Product group that delivers challenging, enterprise-scale Video Content Analytics solutions to global customers.

The candidate will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities:

• Design and deploy real-time video analytics pipelines for large-scale production environments
• Optimize computer vision and deep learning models for low latency, memory efficiency, and high FPS
• Own features end-to-end from research and prototyping to production deployment and monitoring
• Perform model profiling, benchmarking, and performance tuning in production systems
• Contribute to system architecture, technical design, and code reviews
• Mentor junior engineers and uphold software engineering best practices
• Collaborate closely with product, platform, and deployment teams

Minimum Qualifications:

• At least a Bachelor’s Degree in Data Science, Computer Science, Engineering or similar
• At least 3 years of experience in developing Vision AI applications
• At least 3 years of experience with ML/DNN in at least one of the following frameworks: TensorRT, Tensorflow, Keras, PyTorch
• At least 2 years of experience with C++

Key Technologies & Skills Required:

• Programming Languages: C++, Python
• Computer Vision: OpenCV
• Deep Learning Frameworks: PyTorch, TensorFlow, Keras
• GPU Acceleration & Optimization: CUDA, cuDNN, TensorRT
• Model Optimization & Deployment: ONNX, quantization, pruning, FP16/INT8 inference
• Vision Models: Object detection, classification, segmentation, multi-object tracking

Personal Competencies:

• Innovative, motivated and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits:

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore

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 seeking a talented and highly motivated Project Management Officer (PMO) / Quality Assurance (QA) Intern to join our AI Product group that delivers challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of project planning and management, working in a cutting-edge, dynamic and professionally challenging environment.

Successful interns may be offered a full-time permanent position at cynapse at the end of the internship period.

As a Project Management Officer (PMO) / Quality Assurance (QA) Intern, you will:

• Supporting the planning and delivery of Vision AI Software Projects or Programs in Singapore and other countries
• Support multiple ongoing projects
• Assist with the project planning, resourcing and scheduling
• Assist in ensuring that projects are delivered on time, and provide timely reports on project status and activities Assist in requirements gathering and validation, solution development and testing, deployment, UAT and solution commissioning
• With guidance, perform usage tests on software thoroughly, identifying bugs and defects.
• Evaluate different functionalities and aspects of the product and generate reports.
• Assist in communicating and managing vendors, sub-contractors, partners and other stakeholders
• Follow the company PM best practices
• Work in an Agile environment (SCRUM)

The selected candidate will be involved in one or more job items listed above, depending on management decision.

Minimum Qualification:

• Completed at least 1 year of studies as part of a Diploma, Bachelor or Master in one of the following subjects: IT | Engineering | Project Management
• At least 6 months of experience in managing or delivering IT project(s).
• Some Experience with vendors and partner management
• Analytical Thinking
• Innovative, motivated and a quick learner, attention to detail, curiosity, and passion for technology
• Bonus: Technical background/experience with software development

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join Cynapse?

• Unique opportunity to work with a talented global team on cutting-edge technologies
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

Job Types: Full-time, Internship

Contract length: 6 months

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 seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will:

• Implement practical solutions using Large Language Models (LLMs), foundational Computer Vision (CV) models, and agentic AI to address real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiar with machine learning and deep learning concepts, with hands-on project experience or strong interest in real-world applications.
• Proficient in at least one programming language, and familiar with database systems, Linux environments, Docker, and Git version control tools.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

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.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

About Cynapse

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic 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.

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 seeking a talented and highly motivated Full Stack Developer to join our AI Product and LAB group which is researching and developing a cutting-edge Agentic Vision AI platform. You will conform to high standards of code and design, working in a cutting-edge, agile, and professionally challenging environment.

Responsibilities

·      Own end-to-end delivery including testing and bug fixing

·      Participate in architecture and system design activities

·      Be deeply hands-on in code and follow software development best practices

·      Work in an Agile environment (using SCRUM)

Qualifications

·      At least 3 years of experience as a Full-Stack developer

·      At least 1 year of experience with Back-End development

·      At least 1 year of experience as a Front-End developer

·      Strong experience with one Object-oriented backend ecosystem (.Net8, Java/Spring, C++…)

·      Proficiency in front-end development using Typescript (React, Vue,or Angular)

·      Experience with Agentic AI concepts and tech is a strong advantage

·      Experience in working with/for a lab or an innovation group is an advantage

Personal Competencies

·      Innovative, motivated, and a quick learner

·      Ability to work well in a small team and take end-to-end ownership of problemsand their resolution

·      Attention to detail

·      Curiosity and strong passion for advanced technology

Benefits

·      Competitive base salary and a generous stock option package

·      Unique opportunity to work with a talented global team on cutting edge technologies

·      Exciting work environment with flexible hours

·      Health insurance

·      Professional development

Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Job Type: Full-time

Benefits:

·      Health insurance

·      Professional development Schedule: Monday to Friday Supplemental Pay:

·      13th month salary

·      Performance bonus

Work Location: In person

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 a Lead Fullstack Software Developer to join our Engineering team which delivers challenging, enterprise-scale video content analytics software running on mobile/edge/on-premise/cloud platforms, to international customers.

You will conform to high standards of code and design, working in a cutting-edge, agile, and professionally challenging environment.

Responsibilities

• Create User Stories and plan work for the team
• Develop end-to-end modules including testing and bug fixing
• Participate in architecture and system design activities
• Follow software development best practices
• Work in an Agile environment

Qualifications

• At least 5 year of experience as a Frontend, Backend, or FullStack developer
• Management experience
• Experience with Automated Testing and Test Driven Development is a strong advantage
• Strong experience in OOP

Personal Competencies

• Innovative, motivated, and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting-edge technologies
• Exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates that are only based in Singapore

Job Types: Full-time, Permanent

Benefits:

• Flexible schedule
• Health insurance
• Professional development

About Cynapse 

Cynapse is a leading AI-driven company specializing in enterprise-grade Video Intelligence Solutions, 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 in Singapore, Cynapse serves clients worldwide, redefining what's possible with video intelligence. 

Job Description 

We are looking for an experienced Lead Backend C# Developer to join our Portal Team, responsible for developing our enterprise-grade portal solutions. This role involves architecting, implementing, and maintaining robust backend systems that power complex AI solutions for enterprise and government. You will bring a strong focus on good architecture and problem solving with system reliability and scalability in mind. You will be working with the latest technologies, including .NET Core 8 and ASP.NET, in a collaborative, agile, and professionally challenging environment. 

Responsibilities 

• Architect, develop, and maintain backend services of our enterprise-grade portal solutions. 
• Take ownership of system level design tasks and collaborate with frontend developers, and other stakeholders to align backend solutions with overall system goals. 
• Lead technical discussions and contribute to system design, and architecture and code reviews. 
• Champion a culture of continuous learning, documentation, and knowledge sharing within the development team. 
• Lead by example in producing clean high-quality, reusable code following established best practices for scalability and security. 
• Developing RESTful APIs and integrate with various third-party services and databases. 
• Reviewing and mentoring developers on the use of best practices and code patterns. 
• Perform unit testing and automated testing to ensure code quality and reliability. 
• Diagnose, debug, problems and optimize performance bottlenecks in production environments. 

Qualifications 

• Minimum 10+ years of experience as a Backend Developer with strong proficiency in C# and .NET Core (version 8 preferred). 
• Solid understanding of ASP.NET for building enterprise-level web applications. 
• Strong understanding of relational database management systems (and SQL).  
• Familiarity with cloud-based deployments (Azure, AWS, or GCP) and containerization technologies like Docker or Kubernetes. 
• Experience with automated testing frameworks (xUnit, NUnit, or equivalent) is a strong advantage. 
• Knowledge of modern agile software development principles and practices. 
• Experience with any of the following would be considered a bonus 
• Enterprise SaaS platform development  
• Microservices and message-oriented architectures 
• NoSQL / Document database systems 
• gRPC, or Message brokers like RabbitMQ or Kafka. 

Personal Competencies 

• Innovative, motivated, and a quick learner with a passion for solving complex technical challenges. 
• System thinking competencies, understand how and when to apply a first principles approach to systems design.  
• Strong communication and teamwork skills, with the ability to work effectively in small, agile teams. 
• A high degree of ownership and attention to detail, with a commitment to delivering robust and high-quality software solutions. 
• Adaptable and open to learning new technologies and processes. 

Benefits 

• Competitive base salary and a generous stock option package. 
• Unique opportunity to work with a talented global team on cutting-edge technologies. 
• Exciting work environment with flexible working hours. 
• Health insurance coverage and professional development support. 

Location: Due to the nature of the role, this position is open only to candidates based in Singapore. 

Job Type: Full-time, Permanent 

Benefits: 

• Flexible schedule 
• Health insurance 
• Professional development opportunities 

Join Cynapse and be part of an innovative team shaping the future of enterprise-grade AI solutions! 

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 experienced Senior Backend C# Developer to join our Portal Team, responsible for developing our enterprise-grade portal solutions. This role involves designing, implementing, and maintaining robust backend systems that power complex AI solutions for enterprise and government. You will be working with the latest technologies, including .NET Core 8 and ASP.NET, in a collaborative, agile, and professionally challenging environment.

Responsibilities

• Design, develop, and maintain backend systems for our enterprise-grade portal solutions.
• Take ownership and of design tasks and collaborate with frontend developers, architects, and other stakeholders to align backend solutions with overall system goals.
• Lead by example in producing clean high-quality, reusable code following established best practices for scalability and security.
• Develop RESTful APIs and integrate with various third-party services and databases.
• Perform unit testing and automated testing to ensure code quality and reliability.
• Actively participate in technical discussions and contribute to code, system design, and architecture reviews.
• Debug, troubleshoot, and optimize performance bottlenecks in production environments.
• Follow Agile/Kanban methodologies and collaborate effectively with the engineering team.

Qualifications

• Minimum 8+ years of experience as a Backend Developer with strong proficiency in C# and .NET Core (version 8 preferred).
• Solid understanding of ASP.NET for building enterprise-level web applications.
• Experience in designing and developing RESTful APIs and backend services.
• Proficiency in Object-Oriented Programming (OOP) principles and software design patterns.
• Strong understanding of relational database management systems (and SQL).
• Familiarity with cloud-based deployments (Azure, AWS, or GCP) and containerization technologies like Docker or Kubernetes.
• Experience with automated testing frameworks (xUnit, NUnit, or equivalent) is a strong advantage.
• Knowledge of CI/CD pipelines and modern agile software development practices.
• Experience with any of the following would be considered a bonus:
• Microservices and message-oriented architectures
• NoSQL / Document database systems
• gRPC, or Message brokers like RabbitMQ or Kafka.

Personal Competencies

• Innovative, motivated, and a quick learner with a passion for solving complex technical challenges.
• Strong communication and teamwork skills, with the ability to work effectively in small, agile teams.
• A high degree of ownership and attention to detail, with a commitment to delivering robust and high-quality software solutions.
• Adaptable and open to learning new technologies and processes.

Benefits

• Competitive base salary and a generous stock option package.
• Unique opportunity to work with a talented global team on cutting-edge technologies.
• Exciting work environment with flexible working hours.
• Health insurance coverage and professional development support.

Location: Due to the nature of the role, this position is open only to candidates based in Singapore.

Job Type: Full-time, Permanent

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 seeking a talented and highly motivated ML Research Engineer to join our AI Product group. The ideal candidate is passionate about AI and has a strong foundation in machine learning, deep learning, and large language or vision-language models.

This role offers an exciting opportunity to learn from experienced researchers, contribute to cutting-edge AI research, and help drive innovation in our enterprise grade video intelligence solutions. 

Responsibilities

• Implement solutions using advanced large language models (LLMs) or vision language models (VLMs) to address real-world challenges.
• Design and develop agentic AI systems using structured, multi-step workflows to solve complex tasks autonomously.
• Conduct rigorous experiments to validate models and tasks, including data preparation, ensuring reliability and performance.
• Develop prototypes and proof-of-concept systems to validate innovative ideas.
• Collaborate with cross-functional teams (product, engineering, and business) to translate research into production-ready solutions.
• Deliver research projects on time with a strong focus on practical, measurable business impact.

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science/Engineering, Mathematics, or a related field.
• Strong foundation in deep learning fundamentals, including optimization methods, loss functions, model architectures, and training dynamics.
• Hands-on experience with transformer-based models in either computer vision or NLP domains.
• Familiarity with the latest research trends and developments in AI.
• Solid programming skills, with a strong grasp of data structures and algorithms.
• Strong analytical and problem-solving skills, a solid foundation in logical reasoning, and effective communication and teamwork.

Preferred Qualifications

• Master’s degree or higher; a PhD is a strong plus.
• High-impact publications in top-tier AI conferences or journals (e.g., ICML, NeurIPS, ICLR, TPAMI, CVPR, ICCV, ECCV, ACL, EMNLP, ICRA).
• Knowledgeable in transfer learning strategies, including fine-tuning and distillation of foundation models for downstream applications
• Exposure to any other machine learning domains such as reinforcement learning, edge AI, speech recognition, diffusion models, robotics learning, recommender systems, time-series forecasting or related areas

Personal Competencies

• Innovative, motivated, and a quick learner with a passion for solving complex technical challenges.
• Strong communication and teamwork skills, with the ability to work effectively in small, agile teams.
• A high degree of ownership and attention to detail, with a commitment to delivering robust and high-quality software solutions.
• Adaptable and open to learning new technologies and processes

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates who are only based in Singapore

Job Type: Full-time

Benefits:

• Health insurance