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AI Deep Learning Algorithm Engineer
互联网、AI·人工智能
Engage in deep learning algorithm research and development, design and optimize AI models to solve practical problems in computer vision, natural language processing, and more.
Daily work
- 01Read latest papers and reproduce state-of-the-art algorithms
- 02Design neural network architectures and conduct experiments
- 03Clean, annotate, and analyze large-scale datasets
- 04Debug model performance, optimize training speed and accuracy
- 05Collaborate with product and engineering teams for model deployment
- 06Write technical documentation and experiment reports
Ability requirements
Hard skills
- Deep learning theory (CNN, RNN, Transformer, etc.)
- Python programming and common libraries (NumPy, Pandas, Scikit-learn)
- Deep learning frameworks (TensorFlow, PyTorch, JAX)
- Data structures and algorithms
- Linear algebra, probability theory and statistics
- Distributed training and model compression
Soft skills
- Logical analysis and problem decomposition
- Continuous learning and tracking cutting-edge technologies
- Stress resilience and self-motivation
- Team collaboration and cross-department communication
- Innovative thinking and experimental design
Best suited for
Ideal for those passionate about AI, with strong mathematical foundation, enjoy tackling complex problems, and can handle high work pressure.
Less suited for
Not suitable for those seeking job stability, dislike debugging, insensitive to mathematics, or unwilling to continuously learn new technologies.
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.