Senior Machine Learning Engineer

Atlassian Pty Ltd; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Atlassian Pty Ltd in the United States is seeking a Senior Machine Learning System Engineer on the AI & ML Platform team. This full-time remote role focuses on building and refining core infrastructure for ML models and pipelines, collaborating with product teams to solve challenges and deliver impactful AI solutions.

You will design scalable distributed systems, implement MLOps and CI/CD for ML workflows, and mentor engineers while contributing to company-wide initiatives.

Qualifications

• 5+ years of experience in building Machine Learning and AI infrastructure.
• Proven expertise in the comprehensive ML lifecycle, including development, deployment, and maintenance of ML systems.
• Extensive experience in designing scalable, fault-tolerant distributed systems for machine learning.
• Deep experience with MLOps, CI/CD pipelines, and automation for ML model management.
• Expert-level proficiency in Python and ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Collaborate with teams to design, develop, and launch Machine Learning solutions
• Deliver code reviews, documentation, and bug fixes while maintaining a strong engineering culture
• Mentor junior team members and partner across engineering teams on company-wide initiatives

Skills

ML infrastructure

ML lifecycle

Distributed systems

MLOps CI/CD

Python & ML frameworks

Job description

As a Senior Machine Learning System Engineer on the AI & ML Platform team, the full-time remote position will focus on developing and refining core infrastructure for Machine Learning models and pipelines, collaborating with product teams to solve challenges and delivering impactful AI solutions.

Key responsibilities

• Collaborate with teams to design, develop, and launch Machine Learning solutions
• Deliver code reviews, documentation, and bug fixes while maintaining a strong engineering culture
• Mentor junior team members and partner across engineering teams on company-wide initiatives

Required qualifications

• 5+ years of experience in building Machine Learning and AI infrastructure
• Proven expertise in the comprehensive ML lifecycle, including development, deployment, and maintenance of ML systems
• Extensive experience in designing scalable, fault-tolerant distributed systems for machine learning
• Deep experience with MLOps, CI/CD pipelines, and automation for ML model management
• Expert-level proficiency in Python and ML frameworks such as PyTorch or TensorFlow