Staff Machine Learning Engineer (Artificial Intelligence)
Sentry
full-remoteleadpermanentbackenddata Full remote 73 days ago via WTTJ
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Machine LearningDeep LearningPyTorchAgentic SystemsPythonProduction MLModel DeploymentCross-functional CollaborationTechnical DocumentationSoftware Observability
About the role
Role overview
Join Sentry’s AI/ML team as a Staff Machine Learning Engineer (Artificial Intelligence). You’ll develop models and agentic systems that enhance Sentry’s product capabilities and help companies turn software signals into actionable insights.
Key missions
- Develop and implement machine learning models and agents to improve core product capabilities.
- Lead major AI/ML initiatives, leveraging Sentry’s dataset of errors, spans, and profiles.
- Collaborate cross-functionally to integrate AI/ML into core product experiences.
Responsibilities / profile
- Build production-grade agentic systems and tools.
- Own major systems, features, or components, and partner with multiple engineers and teams.
- Write production-quality code (Python).
- Provide technical documentation, mentor others, and present to technical audiences.
Requirements
- Demonstrated expertise building production-grade agentic systems.
- Experience with deep learning frameworks (uses PyTorch).
- 4+ years professional experience with an MS/PhD in CS/ML (or related field).
- 6+ years professional experience with a Bachelor’s degree in CS/ML (or related field).
- Familiarity with deploying machine learning models at scale in production environments.
Nice-to-haves
- Strong comfort working in cross-functional teams with developers and product teams.
- Proven track record of owning and driving delivery across engineering and product stakeholders.
About Sentry
Sentry is a software company focused on helping teams gain actionable insights into their software through error and performance data. It operates in the developer tooling/observability space and uses data-driven AI/ML to enhance product capabilities. The role is part of Sentry’s AI/ML team building advanced models and agents for global impact.
Scraped 5/13/2026