Staff Machine Learning Engineer, AI at Sentry

San Francisco, California, United States

Sentry Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, SentryIndustries

Requirements

Candidates must have a minimum of 4+ years of professional experience with a Master's or PhD degree in computer science, machine learning, or a related field, or a minimum of 6+ years of professional experience with a Bachelor's degree. Expertise is required in building production-grade agentic systems and tools, writing production-quality code in Python, and utilizing deep learning frameworks like PyTorch. Familiarity with deploying machine learning models at scale in production environments, writing technical documentation, mentoring, and presenting to technical audiences is also necessary. A proven track record of owning a system or feature and collaborating with multiple teams is essential.

Responsibilities

The Staff Machine Learning Engineer will develop state-of-the-art agentic AI systems for triaging, debugging, and solving production issues. They will leverage Sentry's extensive dataset of errors, spans, and profiles to build AI/ML initiatives. This role involves integrating AI and machine learning into core products for issue triage, resolution, and predictive analytics for application performance monitoring.

Skills

Machine Learning
AI
Agentic AI
Model Development
Issue Triage
Debugging
Predictive Analytics
Application Performance Monitoring
Computer Science

Sentry

Full-stack application monitoring and observability

About Sentry

Sentry offers full-stack application monitoring and observability, providing deep context, session replay, and distributed tracing to identify errors and performance bottlenecks across frontend and backend technologies, supporting JavaScript, Python, PHP, and more.

San Francisco, CaliforniaHeadquarters
2011Year Founded
$210.6MTotal Funding
SERIES_ECompany Stage
Consumer Software, Enterprise SoftwareIndustries
201-500Employees

Benefits

Competitive Compensation + Equity
401(k) Plan
Medical, Dental, Vision Insurance
Commuter Stipend
Professional Development Stipend
Health & Wellness Benefits
Charitable Matching Program
Flexible PTO
Paid Parental Leave

Risks

Competition from AI-powered tools like Devnaut may impact Sentry's market share.
The Functional Source License might deter developers preferring permissive open-source licenses.
Expanded integrations in Google's Gemini 2.0 could increase competition in error tracking.

Differentiation

Sentry offers real-time error tracking across the entire software stack.
The Functional Source License protects Sentry's commercial interests while supporting open-source collaboration.
Sentry's integration with Google's Gemini 2.0 enhances its visibility among developers.

Upsides

Integration with AI tools like Devnaut boosts Sentry's codebase visibility and productivity.
Sentry's focus on mobile performance monitoring aligns with growing demand in mobile solutions.
Winning the 2023 Digital Innovator Award highlights Sentry's leadership in digital transformation.

Land your dream remote job 3x faster with AI