Machine Learning Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
Tasks
- Apply machine learning deep learning NLP CV multimodal and LLMs
- Build end to end algorithm solutions
- Collaborate with cross-functional teams to deliver solutions
- Debug production issues and iterate
- Design machine learning algorithms
- Develop AI agent-based systems
- Develop intelligent systems for e-commerce
- Develop real time and offline learning and inference systems
- Explore foundation models generative recommendation and multimodal reasoning
- Process data and engineer features
- Run experiments and analyze model performance
- Train evaluate deploy monitor models
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | C++ | Computer Vision | Deep learning | Experimentation | Feature Engineering | Forecasting | Go | Information Retrieval | Java | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | RL | Ranking | Recommendation Systems | Rust | Statistics | TensorFlow
Education
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