Machine Learning Engineer - Logistics Fulfillment
Tasks
- Apply deep reinforcement learning for order batching wave picking and dynamic packaging optimization
- Build reinforcement learning algorithms for first mile and last mile decision making
- Collaborate with cross-functional teams to productize algorithms
- Develop LLM driven labor scheduling optimization with real time capacity inputs
- Develop intelligent scheduling algorithms for middle mile route planning and capacity scheduling
- Extract logistics data to improve operations models and service quality
- Implement multimodal large model for warehouse image recognition and missing part identification
- Implement operations research and AI projects for warehouse optimization
- Simulate logistics network scenarios using large language models
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Data Structures | Data Structures and Algorithms | Deep learning | Fine Tuning | Image Recognition | Integer Programming | Java | LLM | Language Models | Large Language Models | Model Fine-tuning | Multi-Agent | Multi-Agent Reinforcement Learning | Multimodal Learning | Operations Research | Python | R | Reinforcement Learning | Stochastic Programming
Education
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