Company presentation
Empowered by Robotics and A.I. research from NTU Singapore and MIT, Eureka Robotics delivers robotic software and systems to automate tasks that require High Accuracy and High Agility (#HAHA).
With offices in Singapore, France, Vietnam, Japan, and distribution partners in China and the USA, Eureka Robotics prides itself on helping clients, globally, achieve vastly improved productivity, lower costs, and better safety. Common uses include precision-handling, assembly, inspection, and other domains.
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Roles
As an AI Engineer (Computer Vision) at Eureka Robotics, you will develop and deploy machine learning solutions for computer vision and robotics applications, while enhancing our in-house technologies to solve real-world automation challenges.
Job Responsibilities
Manage the end-to-end lifecycle of machine learning projects, from requirement gathering and solution design to dataset curation, model development, testing, and deployment.
Research and implement cutting-edge advancements in Deep Learning; including Computer Vision, LLMs, and Robotics to solve complex, real-world automation challenges.
Develop, optimize, and maintain our internal AI frameworks and technologies.
Troubleshoot and resolve complex issues related to Machine Learning and Computer Vision systems.
Collaborate cross-functionally with team members to ensure the successful delivery of high-impact projects.
Requirements
Fresh graduates are welcome to apply if they meet the minimum requirements.
Minimum
Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field.
Minimum 1+ years of professional experience in Deep Learning and Computer Vision (training, optimizing, and deploying vision models), or a proven track record of relevant achievements (Kaggle competitions, hackathons, or open-source contributions in the machine learning domain)
Proficiency in Python and/or C++, with strong foundational knowledge of Git and shell scripting.
Solid foundation in mathematics, particularly calculus, linear algebra, and statistics.
Hands-on experience with core Machine Learning frameworks (e.g., PyTorch, ONNX, TensorRT).
Strong verbal and written English communication skills.
Preferred
3+ years of professional experience in developing end-to-end Deep Learning and Computer Vision solutions, or a proven track record of relevant achievements (Kaggle competitions, hackathons, or open-source contributions in the machine learning domain)
Strong foundation in classical computer vision, including camera calibration, multi-view geometry, and core image processing techniques.
Expertise in advanced Computer Vision tasks (object detection, image segmentation, anomaly detection, pose estimation, 3D reconstruction) backed by a strong theoretical foundation; research publications are a plus.
Experience with emerging ML paradigms (e.g., LLM, VLM, VLA, foundation models) and a demonstrated ability to align technical innovation with business objectives.
Prior experience in robotics or robotics-related technologies, such as robot kinematics, calibration, motion planning or control systems.
Proven ability to work independently and collaboratively in professional settings, with strong organizational skills (planning, time management, documentation) and a commitment to continuous learning.
Proficiency in leveraging AI-assisted coding tools to enhance development speed, code quality, and productivity.
Benefits
Remuneration: competitive package comprising salary
Healthcare package
Hybrid and flexible working environment
Happy lunch every Friday
A great team behind you - great people who love what they do
The pleasant, enthusiastic, international work environment
A promising training and career path
Work location
Eureka Robotics office in Hanoi, Vietnam.
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