PhD Holder | AI Research Scientist

REOLINK TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Benefits offered by this job

Medical & Dental Benefits Provided

Yearly Bonus

Performance Bonus

Office Near Tai Seng MRT

Job summary

REOLINK TECHNOLOGY PTE. LTD. seeks an AI Algorithms Engineer (PhD required) to develop and optimize machine learning and deep learning algorithms for surveillance and monitoring applications. You will train models, perform data prep, and collaborate to deploy AI features across platforms.

The role demands strong programming in Python and C/C++, experience with PyTorch/TensorFlow/Caffe, and hands-on neural network work (CNN/RNN/LSTM/Transformer/ViT). Hybrid collaboration with teams is expected.

Qualifications

• PhD holder in a related field.
• Proficient in Python and C/C++.
• Strong knowledge of ML/DL algorithms and SOTA trends.
• Hands-on experience with AI/ML frameworks (PyTorch/TF/Caffe/MxNet).
• Experience with neural networks such as CNN/RNN/LSTM/Transformer/ViT.

Responsibilities

• Develop and optimize machine learning and deep learning algorithms for complex problems.
• Train and evaluate AI models, improving performance and accuracy.
• Perform data collection, cleaning, preprocessing and feature engineering.
• Collaborate with team to deploy models into business systems and products.
• Stay updated with AI/ML advances and drive innovations for market needs.

Skills

Python

C/C++

ML/DL algorithms

Model optimization

Neural networks

CNN/RNN/LSTM/Transformer/ViT

AI frameworks (PyTorch, TensorFlow, C2

Education

PhD in Computer Science / Applied Mathematics / Electrical Engineering

Tools

PyTorch

TensorFlow

Caffe

MxNet

Job description

• AI Algorithms Engineer (PHD Only)
• 5 Work Days Per Week
• Office Near Tai Seng MRT, Singapore
• Medical & Dental Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Job 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 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 optimise 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.