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Algorithm Engineer
互联网、AI·人工智能
Algorithm engineers design, develop, and optimize machine learning/deep learning models for applications in search, recommendation, computer vision, NLP, etc.
Daily work
- 01Analyze business requirements and design algorithmic solutions
- 02Clean and preprocess large-scale data
- 03Build and train machine learning/deep learning models
- 04Tune hyperparameters and optimize model performance
- 05Deploy models to production and monitor performance
- 06Track cutting-edge technologies and reproduce paper results
Ability requirements
Hard skills
- Proficient in Python, C++, etc.
- Deep understanding of ML/DL algorithm principles
- Familiar with TensorFlow, PyTorch, etc.
- Solid math foundation (linear algebra, probability, optimization)
- Data processing and feature engineering skills
Soft skills
- Logical thinking and problem-solving
- Ability to quickly learn new technologies
- Good teamwork and communication
- Self-motivation and stress tolerance
Best suited for
Suitable for those with a strong math background, passion for technology, and enjoyment of solving complex problems.
Less suited for
Not suitable for those who fear coding, dislike math, or have low tolerance for uncertainty.
Salary (monthly)
Pre-tax estimate, tier-1 cities with social insurance · reference only
Profile
MBTI Fit
Resume examples for this role
Disclaimer: Salary figures on this page are estimated pre-tax monthly pay for positions with social-insurance contributions in China's tier-1 cities; other cities are converted using regional coefficients. Dimension scores and MBTI fit are editorial estimates, provided for reference only, and do not constitute any promise or advice.