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About the Role
Reolink is seeking an Algorithms Engineer with a PhD to develop and optimize machine learning and deep learning algorithms, contributing to the intelligent upgrading of products and enhancing company competitiveness.
Responsibilities
- Develop and optimize machine learning and deep learning algorithms to solve complex business problems.
- Participate in the construction and training of artificial intelligence models, including neural networks and decision trees.
- Evaluate and optimize models to improve performance and accuracy.
- Conduct data collection, cleaning, preprocessing, and feature engineering.
- Arrange and guide data labelers for data labeling.
- Collaborate with team members to integrate algorithm models into business systems.
- Promote project implementation and realize intelligent product upgrading.
- Stay updated with AI and ML advancements, explore new technologies, and drive innovation.
- Research and implement algorithms for surveillance/monitoring applications, including target detection, feature extraction, tracking, and recognition.
- Maintain documentation of algorithms, experiments, and project workflows.
- Communicate results and findings to stakeholders.
Requirements
- 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.
- 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.
- Exceptional coding skills.
- Hands-on experience with AI / ML frameworks such as Caffe, PyTorch, TensorFlow, MxNet.
- Rich project experience in machine learning and deep learning.
- Familiarity with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, and ability to improve and innovate models.
- Experience in neural network model design, parameter tuning, and optimization is a plus.
- Experience in model compression and transplantation/optimization of deep learning inference on various platforms (NPU/GPU/DSP/ARM, mobile, server) is a plus.
- Strong logical thinking and problem-solving ability.
- Ability to independently undertake research and tackle complex problems.
- Team spirit.
Skills
- Python
- C / C++
- Machine Learning
- Deep Learning
- AI / ML frameworks (Caffe, PyTorch, TensorFlow, MxNet)
- CNN
- RNN
- LSTM
- Transformer
- ViT
- Model optimization
- Data preprocessing
- Feature engineering
- Logical thinking
- Problem-solving
Location
- Singapore
Work Type
- 5 Work Days Per Week
- Office
Experience Level
- PhD Holder
Education Level
- PhD
Benefits
- Medical Benefits Provided
- Yearly Bonus
- Performance Bonus
About the Company
- Reolink is a leader in intelligent visual technology for homes and businesses, founded in 2009 by engineers passionate about smarter security solutions.
- Reolink products are trusted by millions of users in over 110 countries and regions.
- The company continues to expand its presence and bring innovations to global markets.
- Reolink is committed to delivering advanced, reliable, and user-centric solutions to protect what matters most.