Machine Learning Engineer (Computer Vision – Model Engineering)

CYNAPSE PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

cynapse.ai is seeking a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team in Singapore. You will work across the full model lifecycle, from dataset prep to training, evaluation, and optimisation, building robust computer vision systems for real-world use.

You’ll collaborate with senior engineers, experiment with data-centric approaches, and push performance through careful analysis and new architectures.

Qualifications

• Bachelor’s degree in Computer Science, AI, ML, Data Science, or related field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Responsibilities

• Train, fine-tune, and evaluate computer vision models for classification, detection, segmentation, pose estimation, and action recognition.
• Contribute to model development via 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 and techniques against baselines.
• Investigate edge cases and performance limitations to improve accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Skills

PyTorch

TensorFlow

Python

Linux

Education

Bachelor’s degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

Aboutcynapse.ai

cynapse.aiis a leadingAgenticAI software company specializing in enterprise-grade Video Intelligence Solutions Powered byAgentic 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.

Ledbyaglobal teamwith aproventrackrecordofscalingstartups intomarketleaders, we foster innovation, collaboration, and diverse perspectives.HeadquarteredfromUS,cynapse.aiserves clients worldwide, redefiningwhat’spossible with video intelligence.

JobDescription

We are looking fora Junior to Mid-Level Machine Learning Engineerto 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.

WhatYou’llDo:

• 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.

BonusSkills

• 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.

Join Us In Shaping the Future of Video Intelligence!

Check out our Careers page at [ https://www.cynapse.ai/careers/ ] for the latest internship and full-time openings.