Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM/Agent) - 2027 Start (PhD)
Seattle, Washington, United States
USD 137K-246K (estimate) Entry-level Internship
Tasks
- Apply SFT and preference optimization
- Build domain LLM capabilities
- Build multimodal and structured understanding models
- Compress models and optimize inference latency
- Design agent architecture and runtime orchestration
- Develop agent workflows with task decomposition and execution loops
- Develop large language models for supply chain logistics
- Evaluate models using benchmarks and golden sets
- Implement Retrieval Augmented Generation and knowledge retrieval
- Implement memory and state management for agents
- Perform regression testing and bad case attribution
- Set up online feedback loops for continuous improvement
- Support address correction and trajectory prediction scenarios
- Train reinforcement learning for language models
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | C++ | DPO | Deep learning | Evaluation | GRPO | Go | Hugging Face | Inference Optimization | JAX | Java | Knowledge Retrieval | Knowledge graphs | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | Memory Management | Model Compression | Multimodal Learning | Observability | PPO | PyTorch | Python | RAG | RLAIF | RLHF | Regression testing | Reinforcement Learning | Retrieval-Augmented Generation | Reward Modeling | Runtime orchestration | SFT | State management | TensorFlow | Tool use | TypeScript | VLLM
Education
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