Sentry
201 - 500 employees
Founded 2011
☁️ SaaS
🏢 Enterprise
SaaS • Developer Tools • Enterprise
Sentry is an application monitoring and error-tracking platform that helps developers identify, debug, and resolve software errors and performance issues. The company provides tools such as error monitoring, tracing, session replay, profiling, uptime monitoring, logs, and SDKs across many languages and frameworks. Sentry integrates with developer workflows and platforms (GitHub, Slack, Jira, Vercel, Netlify) and emphasizes developer productivity, privacy controls, and enterprise security and compliance.
Staff Machine Learning Engineer, AI
Job not on LinkedIn
🕒 August 9, 2025
🏢🏡 San Francisco – Hybrid
💵 $210k - $280k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Sentry
201 - 500 employees
Founded 2011
☁️ SaaS
🏢 Enterprise
SaaS • Developer Tools • Enterprise
Sentry is an application monitoring and error-tracking platform that helps developers identify, debug, and resolve software errors and performance issues. The company provides tools such as error monitoring, tracing, session replay, profiling, uptime monitoring, logs, and SDKs across many languages and frameworks. Sentry integrates with developer workflows and platforms (GitHub, Slack, Jira, Vercel, Netlify) and emphasizes developer productivity, privacy controls, and enterprise security and compliance.
📋 Description
• About Sentry: Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology. • With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products. • Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools. • 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 • You'll love this job if you: Are driven by impact and enjoy working on high-stakes, high-visibility projects; Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members; Thrive in cross-functional teams and enjoy building features alongside developers and product teams • 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
🎯 Requirements
• 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
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