Research Engineer Intern
Core
Conduct cutting-edge research in AI, foundation models, and computational biology to improve existing models and explore new methodologies for biology applications.
Role type
Research Engineer Intern (Generative AI & Computational Biology)
Builds
State-of-the-art biology foundation models (Genbio AI) and advanced AI capabilities for biological science.
Domain
Biomedicine, Generative AI, Large Language Models (LLMs), Computational Biology
Deliverable
production ML models
Required skills
C/C++, Python, PyTorch, JAX, Hugging Face, Megatron-LM, DeepSpeed, GPU/CPU architecture knowledge, LLM/foundation model architectures, low-precision format optimization, CUDA kernel optimization
Preferred skills
PhD in Computer Science/Engineering with specialization in Computer Architecture, Parallel Computing, or Compilers
Technologies
PyTorch, JAX, Hugging Face, Megatron-LM, DeepSpeed, CUDA
Responsibilities
Design and execute large-scale experiments, analyze complex datasets, apply statistical techniques to validate AI system performance, collaborate with AI/ML researchers and computational biologists to develop biology foundation models
Seniority
Intern (Master's/PhD student)