Machine Learning Engineer - Logistics Fulfillment
Tasks
- Apply deep reinforcement learning to logistics decision making
- Apply reinforcement learning for dynamic route planning and capacity scheduling
- Build reinforcement learning first mile and last mile algorithms
- Collaborate with cross-functional teams to productize algorithms
- Develop middle mile intelligent scheduling algorithms
- Develop multimodal models for warehouse image recognition
- Extract logistics data and improve logistics operation models
- Implement LLM driven labor scheduling optimization
- Implement operations research and AI projects
- Iterate intelligent order allocation and delivery station prediction models
- Simulate supply chain scenarios with large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Capacity Scheduling | Deep reinforcement learning | Dynamic Route Planning | Image Recognition | Language Models | Large Language Models | Machine Learning | Multi-Modal | Multi-modal Models | Operations Research | Parameter optimization | Reinforcement Learning | Route Planning | Scheduling optimization | Sequence Modeling | Simulation
Education
N/A
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