Senior Principal Machine Learning Engineer, Trust Engineering

Atlassian • Austin, TX

84d • $222,300 - $348,975

About The Position

Atlassian is seeking a leader for their Trust Engineering team, which is responsible for delivering robust platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance (GRC). The team aims to build customer trust through systems that monitor and enhance Atlassian products. This role involves leading a new team of engineers focused on AI/ML platforms and solutions that support Atlassian’s security and compliance efforts. The position emphasizes collaboration with various stakeholders and the development of AI safety practices.

Requirements

• 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.
• Deep expertise in Python, Go, or Java, with the ability to write performant, 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.
• Strong communication skills to explain complex ML concepts to diverse audiences.
• Demonstrated 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 Haves

• 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.

Responsibilities

• Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases.
• Design and build scalable, secure, and reliable ML infrastructure and pipelines.
• Develop and champion AI safety practices, including output moderation and explainability.
• Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions.
• Mentor and guide ML engineers and data scientists.
• Stay at the forefront of AI/ML research and apply the latest techniques to real-world Trust challenges.
• Build reusable ML services and APIs for integration into other products and workflows.
• Ensure high availability, reliability, and security of all ML-powered Trust platforms and services.

Benefits

• Health and wellbeing resources.
• Paid volunteer days.
• Competitive compensation programs including base pay, benefits, bonuses, commissions, and equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees