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Staff Machine Learning Engineer, AI
Staff Machine Learning Engineer, AI
As a Staff Machine Learning Engineer on Sentry's AI/ML team, you will develop models and agents to enhance product intelligence, integrating AI/ML into core products for issue triage, resolution, and predictive analytics. You will build state-of-the-art agentic AI systems and leverage Sentry’s extensive dataset to drive major AI/ML initiatives.
About the role
About the Role
As a Staff Machine Learning Engineer on Sentry’s AI/ML team, you’ll be directly responsible for developing the models and agents used to make our product smarter and more capable. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring. Your work will help companies around the globe gain actionable insights into their software, enabling them to build better products, faster.
In this role you will
- Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues
- Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles
- Own the development of major initiatives in the AI/ML space
Qualifications
- Minimum 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field
- Minimum 6+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field
- Demonstrated expertise building production-grade agentic systems and tools
- You are comfortable writing production quality code (we use Python)
- Expertise with deep learning frameworks (we use PyTorch)
- Familiarity in deploying machine learning models at scale in production environments
- Experience in writing technical documentation, mentoring, and presenting to technical audiences
- Proven track record of owning a system, feature, or component, leading or collaborating with multiple engineers and teams
Skills
PythonPyTorchdeep learning frameworksmachine learning modelsAgentic Systems