Senior Principal Machine Learning Engineer, Trust Engineering

Atlassian • Austin, TX

84d • $222,300 - $348,975

About The Position

Atlassian is looking for a leader in AI/ML Strategy for Trust Engineering, a centralized software engineering team focused on building customer trust through robust platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance (GRC). The role involves leading a new team dedicated to developing and scaling AI/ML platforms that enhance Atlassian's security and compliance posture. The position emphasizes collaboration with various stakeholders and the implementation of advanced machine learning algorithms and AI systems.

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, with a proven track record of delivering production-grade ML systems.
• 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, ideally in security, privacy, anti-abuse, or compliance domains.
• Strong communication skills, able 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, fostering a culture of technical excellence.
• Stay at the forefront of AI/ML research, evaluating and applying the latest techniques to real-world Trust challenges.
• Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products.
• 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, 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