Machine Learning Development Engineer

Skills

About the Role

You will build and optimize machine learning models to meet product needs, focusing on accuracy and performance. You will apply modern machine learning and deep learning algorithms to real-world identification problems, collect and preprocess data, extract features, train and tune models, analyze model performance, and write technical documentation to support deployment and updates.

Requirements

• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, or a related field
• At least 2 years of experience in machine learning and deep learning
• Proficient in common machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch
• Strong foundation in linear algebra, probability theory, and mathematical statistics
• Strong programming skills in Python and familiarity with scikit-learn
• Experience in facial recognition, voiceprint recognition, or related projects is preferred

Responsibilities

• Research and optimize machine learning models for facial recognition and voiceprint recognition
• Use deep learning frameworks such as TensorFlow and PyTorch for model training and tuning
• Analyze model performance and enhance recognition accuracy and speed by adjusting algorithm parameters and network structures
• Collaborate in data collection, preprocessing, and feature extraction
• Stay updated with latest research trends and introduce new technologies and ideas
• Write and maintain technical documentation to support deployment and updating of models