Atlassian
Senior Principal Machine Learning Engineer, Trust Engineering
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Senior Principal Machine Learning Engineer, Trust Engineering
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Atlassian Overview Working at Atlassian: Atlassians can choose where they work – in office, from home, or a combination. We hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually as part of being a distributed-first company. Responsibilities Lead AI/ML Strategy for Trust: Drive the 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 evolving regulatory frameworks. Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver AI/ML solutions that enhance Atlassian’s trust posture. Mentorship and Leadership: Mentor ML engineers and data scientists, fostering technical excellence and continuous improvement. Innovation and Research: Stay at the forefront of AI/ML research, evaluating techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) for Trust challenges. Platform Enablement: Build reusable ML services and APIs to 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 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; production-quality code; 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 development mindset with a 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. Why Join Trust Engineering? Shape the future of AI/ML for security, privacy, product abuse, and compliance at Atlassian. Work on high-impact, high-visibility projects that directly enhance customer trust. Collaborate with world-class engineers and leaders in a mission-driven, inclusive environment. Qualifications Compensation Skills At Atlassian, we design equitable, explainable, and competitive compensation programs. The base pay ranges by geographic zones. For this role, current base pay ranges for new hires in the US are: Zone A: 267,300 – 348,975 USD Zone B: 241,200 – 314,900 USD Zone C: 222,300 – 290,225 USD This role may be eligible for benefits, bonuses, commissions, and equity. Visit go.atlassian.com/payzones for more information and confirm the zone with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits to support you and your family. Learn more at go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, our goal is to unleash the potential of every team. Our products help teams worldwide, and our culture emphasizes inclusion and equal opportunity. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. All information is kept confidential according to EEO guidelines. We provide accommodations or adjustments during recruitment on request. For more about our culture and hiring process, visit go.atlassian.com/crh. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development Referrals increase your chances of interviewing at Atlassian. Sign in to set job alerts for “Machine Learning Engineer” roles.
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Join to apply for the
Senior Principal Machine Learning Engineer, Trust Engineering
role at
Atlassian Overview Working at Atlassian: Atlassians can choose where they work – in office, from home, or a combination. We hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually as part of being a distributed-first company. Responsibilities Lead AI/ML Strategy for Trust: Drive the 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 evolving regulatory frameworks. Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver AI/ML solutions that enhance Atlassian’s trust posture. Mentorship and Leadership: Mentor ML engineers and data scientists, fostering technical excellence and continuous improvement. Innovation and Research: Stay at the forefront of AI/ML research, evaluating techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) for Trust challenges. Platform Enablement: Build reusable ML services and APIs to 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 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; production-quality code; 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 development mindset with a 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. Why Join Trust Engineering? Shape the future of AI/ML for security, privacy, product abuse, and compliance at Atlassian. Work on high-impact, high-visibility projects that directly enhance customer trust. Collaborate with world-class engineers and leaders in a mission-driven, inclusive environment. Qualifications Compensation Skills At Atlassian, we design equitable, explainable, and competitive compensation programs. The base pay ranges by geographic zones. For this role, current base pay ranges for new hires in the US are: Zone A: 267,300 – 348,975 USD Zone B: 241,200 – 314,900 USD Zone C: 222,300 – 290,225 USD This role may be eligible for benefits, bonuses, commissions, and equity. Visit go.atlassian.com/payzones for more information and confirm the zone with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits to support you and your family. Learn more at go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, our goal is to unleash the potential of every team. Our products help teams worldwide, and our culture emphasizes inclusion and equal opportunity. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. All information is kept confidential according to EEO guidelines. We provide accommodations or adjustments during recruitment on request. For more about our culture and hiring process, visit go.atlassian.com/crh. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development Referrals increase your chances of interviewing at Atlassian. Sign in to set job alerts for “Machine Learning Engineer” roles.
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