Research Engineer Intern
Core
Design, train, and evaluate LLM-centric systems by blending implementation, experimentation, and benchmarking.
Role type
Research Engineer Intern
Builds
Scalable experimentation foundations, prompt and code-selection tooling, and optimized inference infrastructure
Domain
Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, LLM inference, LLM fine-tuning, applied research engineering, evaluation frameworks, unit/property-based testing, performance profiling
Preferred skills
Open research contributions, algorithm design, reinforcement learning, evolutionary methods, optimization methods
Technologies
PyTorch, JAX
Responsibilities
Support development of scalable experimentation foundations with reproducibility and observability; Create and improve robust prompt and code-selection tooling; Optimize system inference and infrastructure for efficiency; Implement new ideas with ML engineers and researchers; Engage with the research community to advance algorithmic discovery
Seniority
Intern
