Senior AI Engineer [ Computer Vision | Transformer | PyTorch ]

Reolink; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Yearly bonus

Performance bonus

Job summary

Reolink is a leader in intelligent visual technology for homes and businesses, seeking a Senior Algorithms Engineer to join the AI/Imaging team in Singapore. You will design, implement and optimize ML/vision solutions for intelligent surveillance products, emphasizing performance and reliability.

Responsibilities include developing ML/DL algorithms, training and evaluating models, data preprocessing, and collaborating with engineers to deploy across devices and cloud platforms.

Qualifications

• Master's degree or PhD in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, AI, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or related field.
• 2–5 years of professional AI experience required.
• Familiar with ML/DL algorithms and SOTA implementations.

Responsibilities

• Algorithm Development: Develop and optimize ML/DL algorithms to solve complex business problems.
• Model Training and Evaluation: Train artificial intelligence models and evaluate performance to improve accuracy.
• Data Analysis and Preprocessing: Collect, clean, preprocess data and guide data labeling.
• Collaboration and Deployment: Integrate models into business systems and drive deployment across platforms.
• Research and Innovations: Stay updated with AI/ML advancements and explore new tech.
• Documentation and Reporting: Maintain documentation and communicate findings to stakeholders.

Skills

Python

C/C++

Machine learning

Deep learning

Neural networks

Model optimization

Research

Teamwork

Education

Master's degree in CS/AI/EE

PhD in related field

Tools

Caffe

PyTorch

TensorFlow

MxNet

Job description

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user-centric solutions that empower people to protect what matters most.

• Algorithms Engineer (Senior Level)
• 5 Work Days Per Week
• Entitled to Yearly Bonus & Performance Bonus

Job Requirements

• Master's Degree or PhD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
• At least 2-5 years of professional experiences in AI role is required for this post.
• Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.
• Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills
• Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc.
• Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems.
• Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus
• Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
• Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.

Job Responsibilities

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company's competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.