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 reinforcement learning for language models
- Build agent runtime orchestration
- Build domain LLM capabilities
- Build multimodal and structured understanding systems
- Develop agent systems for logistics workflows
- Develop large language models for supply chain and logistics
- Implement retrieval-augmented generation
- Perform model and agent evaluation with benchmarks
- Run regression testing and online feedback loops
- Support tool use and evidence grounding in agents
- Train and post train LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | C++ | Context understanding | Direct Preference Optimization | Evidence Grounding | Fine Tuning | Go | Hugging Face | Human Feedback | Inference Optimization | JAX | Java | Knowledge Retrieval | Langchain | Language Models | Large Language Models | Latency optimization | Learning from Human Feedback | Llamaindex | Model Compression | Multimodal Learning | Online Learning | Policy Optimization | Post-training | Preference optimization | Proximal Policy Optimization | PyTorch | Python | RAG | RLAIF | RLHF | Regression testing | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Reward Modeling | Supervised Fine Tuning | TensorFlow | Time Series | Tool use | TypeScript | VLLM
Education
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