Senior Machine Learning Systems Engineer

Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. About The Central AI Org Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to: • Develop horizontal AI capabilities and infrastructure that can be leveraged across all products. • Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products. • Explore integrating Atlassian products with AI solutions beyond the Atlassian ecosystem. About the AI & ML Platform Team • Our team’s goal is to build the foundations to democratize AI and Machine Learning for Atlassian’s teams, customers, and ecosystem. We aim to build productive, reliable tools that empower Atlassian teams to harness AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML models and experiences.

About This Role

As a Senior ML System Engineer On The AI & ML Platform’s Inference Team, You Will Design And Optimize Large-scale Model Serving Systems End-to-end. You Will Own Everything From Distributed Infrastructure (global KV Cache, Continuous Batching, Load Balancing, Auto-scaling) To Deep Low-level Optimizations (GPU Kernels, Quantization, Speculative Decoding).In This Role, You Are Expected To: • Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). • Optimize latency and throughput of model inference under real production workloads. • Build reliable, high-concurrency serving systems that serve billions of requests reliably • Benchmark, fine-tune, and accelerate inference engines. • Create robust CI/CD infrastructure for seamless model deployment and inference engine updates. • Partner with senior ML engineers to fine‑tune open-source LLMs and deploy Compensation Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.This role may also be eligible for