About the job
About Sentry
At Sentry, we recognize that poor software experiences are all too common, and we are determined to change that. Our mission is to empower developers to create better software more efficiently, allowing everyone to reconnect with the joy of technology.
With over $217 million in funding and a community of more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are pioneering performance and error monitoring solutions. Our tools enable companies to spend less time addressing bugs and more time innovating.
Sentry promotes a hybrid work environment across our global hubs, designating Mondays, Tuesdays, and Thursdays as in-office collaboration days. If you are passionate about creating solutions that enhance the digital experience, we invite you to join us in developing the next generation of software monitoring tools.
About the Role
As a Staff Machine Learning Engineer within Sentry’s AI/ML team, you will take the lead in developing advanced models and agents that enhance our products' intelligence and functionality. This pivotal role involves integrating AI and machine learning into our core offerings, including issue triage and resolution, as well as predictive analytics for application performance monitoring. Your contributions will enable organizations worldwide to derive actionable insights from their software, helping them to create superior products at an accelerated pace.
In This Role You Will
Create cutting-edge agentic AI systems for triaging, debugging, and resolving real-world production challenges.
Utilize Sentry’s extensive dataset of errors, spans, and profiles to inform your work.
Lead the charge on significant AI/ML initiatives within the organization.
You Will Thrive in This Role If You
Are motivated by making a meaningful impact and enjoy high-stakes, visible projects.
Have a passion for building and will embrace the opportunity to be a founding member of the AI/ML team.
Excel in cross-functional collaboration, working alongside developers and product teams to create features.

