Senior Artificial Intelligence Engineer
Core
Lead advanced AI model development (LLMs, agentic systems, multi-modal models) and secure computational infrastructure for bioimage informatics research.
Role type
Senior hands-on IC AI Engineer (Systems & Infrastructure)
Builds
Shared AI architecture, secure environments, and scalable ML pipelines for CBI data scientists
Domain
Healthcare research / Bioimaging / High-Performance Computing
Deliverable
production ML models | infrastructure
Required skills
Deep learning frameworks (PyTorch, TensorFlow, Keras), distributed/multi-GPU training optimization, HPC resource scheduling (Slurm), safety guardrails for agentic systems, data privacy/security protocols, benchmarking/evaluation frameworks
Preferred skills
LLM fine-tuning (PEFT/LoRA), inference optimization (vLLM, TensorRT-LLM), open-source AI infrastructure contributions, biomedical research context
Technologies
PyTorch, TensorFlow, Keras, Slurm, vLLM, TensorRT-LLM, Triton, NCCL, CUDA
Responsibilities
Evaluate, fine-tune, and benchmark AI models; design safety guardrails and sandboxing for agentic systems; optimize GPU/HPC resource allocation; build shared AI architecture and best practices; develop AI demonstration use-cases and training materials
Seniority
Senior, hands-on IC with technical leadership