Machine Learning Engineer II (Intern)
Cis- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 17d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Develop and implement generative AI applications using large language models
- Optimize neural networks for NLP and machine perception
- Train, fine-tune, and deploy models for real-world use
- Collaborate with cross-functional teams to gather and prep data
- Design custom layers and automate model deployment
- Write production-ready code with robust testing
Requirements
- Currently enrolled in an undergraduate degree program with 2 years of work experience, or a Master's degree program with 0 years of work experience
- Education in Computer Science, Electrical Engineering, Data Science, Machine Learning, AI, Statistics, Mathematics, Software Engineering, or related program
- Expected to continue enrollment in degree program after internship
- Backend development skills in Go or Python
- Understanding of LLM infrastructure and optimization strategies
- Practical experience with model building and AI or LLM tasks
Preferred
- Experience with inference engines such as vLLM, Triton, or TorchServe
- Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models
- Familiarity with agent frameworks and cloud-native platforms
- Experience with cybersecurity principles and Python programming, including common AI libraries
- Exposure to scalable computing environments and best practices for secure, efficient AI deployment
Skills
- Go
- Python
- GPT-4
- Claude
- Llama
- vLLM
- Triton
- TorchServe
- GPU
- LLM
- NLP
- GANs
- Transformer
- Convolutional Neural Networks
- Distillation
- Student-Teacher Frameworks
- Agent Frameworks
- Cloud-Native Platforms
- Cybersecurity
- AI Libraries
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