【校招储备】算法实习生
Tasks
- Build inference acceleration with inference frameworks
- Build multimodal bug recognition
- Containerize deployments
- Coordinate multi-agent workflows
- Deploy model services
- Design and develop agent system
- Explore multimodal model applications
- Implement content safety auditing
- Implement microservice AI API wrappers
- Implement tool calling pipelines
- Iterate model prompts using data feedback
- Maintain AI product
- Manage short term and long term memory
- Optimize model inference speed
- Perform bad case analysis
- Tune performance for high concurrency
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Algorithms | Auto Tool Calling | Autogen | Data Structures | Docker | FastAPI | Fine Tuning | Flask | High concurrency | Kubernetes | Langchain | Language Models | Large Language Models | Linux | MetaGPT | Microservices | Model Deployment | MongoDB | Multimodal Models | Prompt engineering | PyTorch | Python | REST API | Redis | TensorFlow | TensorRT-LLM | Tool-Calling | Transformer | Transformer Architecture | Triton | VLLM | Visual Language Models | Visual language
Education
Roles
AI | AI Research Intern | Engineer | Intern | Learning Engineer | Machine Learning Engineer | Research Intern
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