Job Description:
Responsible for building and optimizing machine learning models to meet the business needs of company products, ensuring the accuracy and performance of the models. You will have the opportunity to delve into the latest machine learning algorithms and apply them to real-world problems, providing users with a safer and more convenient identification experience
Responsibilities:
- Research and optimize machine learning models for facial recognition, voiceprint recognition, and other related tasks.
- Use deep learning frameworks (such as TensorFlow, PyTorch, etc.) for model training and tuning.
- Analyze model performance and enhance recognition accuracy and speed by adjusting algorithm parameters and network structures.
- Collaborate with the team in data collection, preprocessing, and feature extraction.
- Stay updated with the latest research trends in the field of machine learning and introduce new technologies and innovative ideas to the team.
- Write and maintain relevant technical documentation to support the deployment and updating of models.
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, PyTorch, etc.).
- Strong mathematical foundation, familiar with linear algebra, probability theory, and mathematical statistics.
- Strong programming skills, proficient in Python and familiar with scikit-learn.
- Experience in facial recognition, voiceprint recognition, or related projects is preferred