Senior Principal Machine Learning Engineer

Senior Principal Machine Learning Engineer, Trust Engineering We are seeking a Senior Principal Machine Learning Engineer to join Atlassian’s Trust Engineering team. You will help build and scale AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture. You will work with Security, Privacy, Product Abuse, and GRC stakeholders to advance AI safety and responsible AI for enterprise environments. Responsibilities Lead AI/ML Strategy for Trust: Drive development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety). Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring privacy and regulatory compliance. AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with regulatory frameworks. Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture. Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering technical excellence and continuous improvement. Innovation and Research: Stay at the forefront of AI/ML research and apply techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges. Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into products and workflows. Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services. Your Background On your first day, we’ll expect you to have: Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience. 12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems. Deep expertise in Python, Go, or Java; familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks). Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains. Strong communication skills to explain complex ML concepts and influence stakeholders. Ability to solve ambiguous, complex problems and drive projects from ideation to production. Agile mindset with focus on iterative improvement and business impact. Nice to Have Experience in AI safety, responsible AI, or regulatory compliance for ML systems. Background in privacy engineering, anti-abuse, security automation, or GRC platforms. Experience developing deep learning models, LLMs, or privacy-preserving ML techniques. Experience mentoring and growing high-performing ML teams. What We Offer Competitive compensation and benefits, with base pay ranges determined by location and experience. Opportunities to work on high-impact projects that enhance customer trust. A collaborative, inclusive environment with world-class engineers and leaders. About Atlassian At Atlassian, we’re motivated by a common goal: to unleash the potential of every team. We design products that help teams collaborate and achieve what’s possible together. We value diversity and inclusion and provide accommodations during the recruitment process as needed. All information will be kept confidential in accordance with EEO guidelines. Employment Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development #J-18808-Ljbffr