6 months ago
Dublin, IrelandSenior
Responsibilities
- Implement and scale training pipelines for large transformer and LLM models from data ingestion and preprocessing through distributed training and evaluation.
- Build and optimize low-latency, highly reliable inference services, including autoscaling, routing, and fallbacks.
- Tune GPU kernels, improve utilization, and identify bottlenecks across the training and inference stack.
- Collaborate with ML scientists to implement advanced training and inference methods and bring them to production.
- Participate in hiring, mentoring, and developing other engineers.
- Improve technical standards, reliability, and operational excellence across the AI platform.
Requirements
- 5+ years of software engineering experience.
- A degree in Computer Science, Computer Engineering, or a related field, or equivalent experience with very strong fundamentals.
- Hands-on experience with model training, especially transformers and LLMs; model inference at scale; or low-level GPU work such as CUDA or Triton kernels.
- Experience working in production environments at meaningful traffic, data, or organizational scale.
- Deep knowledge of at least one programming language, such as Python, Ruby, Java, or Go.
- Clear communication, strong technical fundamentals, collaborative working style, and willingness to invest in professional development.
- Preferred experience running training or inference workloads on Kubernetes.
- Preferred experience with AWS or other major cloud providers.
- Preferred production experience with Python in ML or infrastructure contexts.
- Experience at an AI-native company that trains or runs inference for its own models is a bonus.
- Personal projects, open-source contributions, meetups, or published technical content are valued.
Benefits
- Competitive salary and equity are offered, with regular compensation reviews; compensation figures are not stated.
- Lunch is provided every weekday, along with snacks and a stocked kitchen.
- Unlimited access to Claude Code and other AI tools is provided.
- Pension scheme with matching up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off policy.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBooks are standard, with Windows available for certain roles.
- Hybrid working policy requiring employees to work in the office at least three days per week.
Tech Stack
Categories
About Intercom
Intercom builds a customer service platform that combines an AI agent (Fin), live chat, and a modern help desk to support sales and support teams. It sells its software as a SaaS subscription to businesses that want to manage customer conversations across web, mobile, and email with automation and analytics. Founded in 2011 and headquartered in San Francisco, the company is privately held and serves startups through large enterprises.