Senior Machine Learning Systems Engineer
Core
Building core infrastructure and tools to empower Atlassian teams to develop, deploy, and manage Machine Learning models and pipelines.
Role type
Senior Machine Learning Systems Engineer (Platform/Infrastructure)
Builds
Horizontal AI capabilities, centralized Search/Q&A/Conversational AI systems, and ML development/deployment tools for Atlassian products.
Domain
Enterprise Software / AI Infrastructure / MLOps
Deliverable
production ML models | infrastructure
Required skills
End-to-end ML lifecycle expertise, Large-scale distributed system design, Python, MLOps and CI/CD pipelines, Model serving and monitoring
Preferred skills
Cloud infrastructure (AWS/GCP/Azure), Big data processing (Spark/Ray/Dask), Performance optimization, Generative AI systems (LLMs/RAG)
Technologies
Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure, Spark, Ray, Dask
Responsibilities
Design and build scalable, fault-tolerant ML systems; Collaborate with product teams to solve ML challenges; Lead projects from technical design to launch; Deliver code reviews and documentation; Mentor junior team members
Seniority
Senior, hands-on IC with mentorship responsibilities
