Machine Learning Engineer - Logistics Fulfillment
Tasks
- Apply deep reinforcement learning to warehouse batching picking and packaging optimization
- Build multimodal large model systems for warehouse image recognition and missing parts identification
- Build reinforcement learning decision systems for first mile and last mile scenarios
- Collaborate on product plan design and algorithm productization
- Design and implement reinforcement learning scheduling algorithms for middle mile trunk transportation
- Develop large language model based logistics network simulation
- Develop multimodal traceability for abnormal scenario detection
- Extract logistics data and optimize logistics operation models
- Implement LLM driven intelligent labor scheduling optimization
- Implement operations research and AI projects for warehousing and fulfillment
- Iterate intelligent order allocation and delivery station prediction models
- Optimize logistics network layout decision making efficiency
Perks/Benefits
- N/A
Skills/Tech-stack
Capacity Planning | Computer Vision | Deep reinforcement learning | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Models | Natural Language | Natural Language Processing | Operations Research | Optimization | Python | Reinforcement Learning | Route Planning | Scheduling
Education
N/A
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