Senior Principal Machine Learning Engineer, Trust Engineering
Atlassian
Full-time
On-site
Austin, Texas, United States
Overview
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Responsibilities
About Trust Engineering
Trust Engineering is Atlassian’s centralized software engineering team within the Trust organization, delivering robust platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance (GRC). Our mission is to build customer trust through systems that describe, monitor, and accelerate Atlassian products. We provide services that enhance customer trust and confidence. We are at the forefront of building AI/ML capabilities for Trust and Security.
Your Future Team
You’ll form a new team of passionate engineers dedicated to building and scaling AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture. Trust Engineering operates as a platform and enablement team, partnering closely with Security, Privacy, Product Abuse, and GRC stakeholders, and leading the charge on AI safety and responsible AI for enterprise environments.
What You’ll Do
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 compliance with privacy and regulatory requirements.
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 transformative AI/ML solutions that enhance Atlassian’s trust posture.
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement.
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest 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 their 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, 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 and influence stakeholders.
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.
It’s great, but not required, if you 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
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $267,300 - $348,975
Zone B: $241,200 - $314,900
Zone C: $222,300 - $290,225
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Responsibilities
About Trust Engineering
Trust Engineering is Atlassian’s centralized software engineering team within the Trust organization, delivering robust platforms and services for Security, Privacy, Product Abuse, and Governance, Risk, and Compliance (GRC). Our mission is to build customer trust through systems that describe, monitor, and accelerate Atlassian products. We provide services that enhance customer trust and confidence. We are at the forefront of building AI/ML capabilities for Trust and Security.
Your Future Team
You’ll form a new team of passionate engineers dedicated to building and scaling AI/ML platforms and solutions that underpin Atlassian’s security, privacy, anti-abuse, and compliance posture. Trust Engineering operates as a platform and enablement team, partnering closely with Security, Privacy, Product Abuse, and GRC stakeholders, and leading the charge on AI safety and responsible AI for enterprise environments.
What You’ll Do
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 compliance with privacy and regulatory requirements.
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 transformative AI/ML solutions that enhance Atlassian’s trust posture.
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement.
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest 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 their 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, 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 and influence stakeholders.
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.
It’s great, but not required, if you 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
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $267,300 - $348,975
Zone B: $241,200 - $314,900
Zone C: $222,300 - $290,225
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.