Hybrid (expected to be in the office at least three days per week)
Model training at scale
Model inference at scale
Low-level gpu coding
Intercom is seeking a Senior+ AI Infrastructure Engineer to enhance its AI customer service capabilities by developing systems for training and serving AI models. The role requires significant experience in software engineering, particularly in model training and inference, with a focus on GPU performance. The position offers a compelling benefits package and a collaborative culture
Job Summary
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure.
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
Matching Summary
Match Score: 85
Intercom is seeking a Senior+ AI Infrastructure Engineer to enhance its AI customer service capabilities by developing systems for training and serving AI models. The role requires significant experience in software engineering, particularly in model training and inference, with a focus on GPU performance. The position offers a compelling benefits package and a collaborative culture.
Skills & Requirements
Must-have
model training at scale
model inference at scale
low-level GPU coding
CUDA or Triton kernels
production environments at scale
Nice-to-have
AI native companies
Kubernetes workloads
AWS or cloud providers
Python in ML contexts
passion for technology
Key Requirements
5+ years of experience in software engineering
Degree in Computer Science or equivalent experience