Machine Learning Algorithm Engineer
1 week ago
**Company Introduction**
**Our Team**
Base Locations: Beijing/Shanghai/Shenzhen/Wuhan/Singapore
**Interview Format**
**Responsibilities**:
- Participating in research and development, design, training, optimization, and deployment of relevant machine learning and reinforcement learning models, collaborating with the engineering team to produce enterprise-level algorithm products.
**Requirements**:
- Bachelor's degree or above, familiar with one of the directions of machine learning, deep learning, data mining, reinforcement learning, etc.
- Good programming skills, proficient in programming languages such as Python/C++, excellent problem-solving and analysis abilities, passionate about solving challenging problems.
- Master algorithms corresponding to any of the following technical directions: AutoML, reinforcement learning, transfer learning, adversarial learning, convex optimization, search, recommendation, graph neural networks, knowledge graphs, etc. Strong algorithm implementation ability, familiar with deep learning platforms, best in PyTorch.
Bonus Points:
- Strong coding skills preferred, with experience in various competitions and awards (e.g., Kaggle, Tianchi, DF, DC, etc.), programming competitions such as ACM, or significant influence from open-source projects on GitHub.
- Priority given to those who have published papers in top international conferences or journals such as ICML, NeurIPS, ICLR, KDD, WebConf, AAAI, IJCAI.
- Relevant technical or competitive experience in the field of large model multimodality.
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