Systems Engineering Intern - Machine Learning
United States
USD 84K-124K (estimate) Entry-level Full Time Internship
Tasks
- Build and maintain deep learning systems
- Collaborate to define AI strategies for products
- Conduct system modeling and simulations
- Design and implement agentic LLM systems
- Develop system prototypes
- Develop training methods for LLMs
- Explore LLM coding generation
- Optimize LLM performance and efficiency
- Research and develop LLM architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | C++ | DPO | Deep learning | Few-Shot Learning | Few-shot | Fine Tuning | GRPO | JAX | LLM Performance Evaluation | LLM performance | Language Models | Language Processing | Large Language Models | Machine Learning | Machine learning model deployment | Model Deployment | Natural Language | Natural Language Processing | ONNX | PPO | Performance Evaluation | PyTorch | Python | Reinforcement Learning | Reinforcement Learning for LLM | Tool-Calling | Transfer Learning | Transformer | Transformers
Education
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