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About This Role
Intercom is seeking a Senior AI Infrastructure Engineer to build systems for training and serving AI products. The engineer will work on model training and inference, GPU-level performance, and collaborate with ML scientists. The role requires a strong track record of shipping high-quality products and experience with model training, inference, or low-level GPU work.
Key ResponsibilitiesAI-extracted
- 1Implement and scale training pipelines for large transformer and LLM models
- 2Build and optimize inference services for low-latency and high-reliability experiences
- 3Work on GPU-level performance tuning, utilization, and bottleneck identification
- 4Collaborate with ML scientists to implement cutting-edge training and inference methods
- 5Mentor and develop other engineers on the team
RequirementsAI-extracted
- 5+ years of experience in software engineering with a strong track record of shipping high-quality products
- Hands-on experience with model training, model inference, or low-level GPU work
- Strong technical fundamentals and ability to write clean, reliable code
- Experience working in production environments at meaningful scale
- Typically: experience with cloud providers such as AWS or Kubernetes
Perks & BenefitsAI-extracted
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