5 months ago
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 performance 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
- At least 5 years of software engineering experience.
- Degree in Computer Science, Computer Engineering, or a related field, or equivalent experience with strong technical fundamentals.
- Hands-on experience with model training, model inference at scale, or low-level GPU programming such as CUDA or Triton.
- Deep knowledge of at least one programming language, such as Python, Ruby, Java, or Go.
- Experience working in production environments at meaningful traffic, data, or organizational scale.
- Clear technical communication and effective collaboration with engineers and non-engineers.
Benefits
- Competitive salary and equity, with regular compensation reviews.
- Weekday lunch, snacks, and a fully stocked kitchen.
- Unlimited access to Claude Code and other AI tools.
- Pension scheme with matching up to 4%.
- Life assurance plus comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook standard equipment, with Windows available for certain roles.
- Hybrid working policy requiring at least three days per week in the office.
Tech Stack
Categories
About Intercom
We’re Intercom — the AI customer service company helping businesses deliver incredible customer experiences at scale. Our platform combines Fin, the #1 AI Agent for customer service, with our next-generation Helpdesk, a modern workspace that gives support teams the power, speed and intelligence they need.