Sentry · 8 hours ago
Staff Machine Learning Engineer, AI
Sentry is on a mission to help developers write better software faster by building performance and error monitoring tools. The Staff Machine Learning Engineer will be responsible for developing AI and machine learning models to enhance Sentry’s products, providing actionable insights for software performance monitoring.
Application Performance ManagementDeveloper ToolsReal TimeWeb Apps
Responsibilities
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
Qualification
Required
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
Benefits
Incentive compensation
Equity grants
Paid time off
Group health insurance coverage
Company
Sentry
Sentry is a developer of an application monitoring platform that helps developers optimize the performance of their code.
H1B Sponsorship
Sentry has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (4)
2023 (3)
2022 (12)
2021 (6)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$217MKey Investors
AccelNew Enterprise Associates
2022-05-04Series E· $90M
2021-02-18Series D· $60M
2019-09-24Series C· $40M
Recent News
2026-01-06
2025-12-19
2025-12-06
Company data provided by crunchbase