AI Scientist (PhD) - Computer Vision & Visual Language Models

About Reolink

Founded in 2009 by a team of passionate engineers, Reolink leads in intelligent visual technology designed for home and business security. Trusted by millions across 110+ countries, the company continues to expand globally, driven by its commitment to develop innovative, reliable, and user-focused security solutions.

Job Highlights

• Position open exclusively for PhD holders
• 5-day working week
• Office located near Tai Seng MRT, Singapore
• Medical benefits are provided
• Eligible for annual and performance bonuses

Key Responsibilities

• Develop and fine-tune machine learning and deep learning algorithms tackling complex business challenges
• Engage in building, training, and evaluating AI models such as neural networks and decision trees to enhance their accuracy and performance
• Handle data-related tasks including collection, cleaning, preprocessing, and feature engineering; manage and guide data annotation efforts
• Work closely with cross-functional teams to implement algorithmic models into production systems, driving product intelligence upgrades
• Keep abreast of the latest AI and ML developments; pioneer new technology deployments to boost innovation and market competitiveness
• Conduct research and develop audio and video algorithms applicable to surveillance, including target detection, feature extraction, tracking, and recognition
• Maintain detailed and clear documentation of algorithms, experiments, and workflows; effectively communicate technical findings to all stakeholders

Candidate Requirements

• PhD degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics, or closely related disciplines
• Proficient understanding of mainstream machine learning and deep learning algorithms, with active familiarity of recent state-of-the-art implementations
• Strong programming ability in Python, C, and C++; solid foundations in mathematical and statistical concepts coupled with excellent coding practices
• Practical experience with AI/ML frameworks such as Caffe, PyTorch, TensorFlow, MxNet
• Extensive project background in ML/DL, knowledgeable about common model architectures like CNN, RNN, LSTM, Transformer, Vision Transformer, and capable of innovating model improvements tailored to practical issues
• Experience with neural network design, parameter tuning, and optimization techniques considered advantageous
• Familiarity with model compression and deployment optimization on platforms including NPU, GPU, DSP, ARM for mobile, as well as CPU and GPU on servers is a plus
• Excellent logical thinking and problem resolution skills; capable of independent research and complex problem solving; strong teamwork abilities are highly valued