The ad says“Demonstrated expertise building production-grade agentic systems and tools”
The ad says“Expertise with deep learning frameworks (we use PyTorch)”
The ad says“Familiarity in deploying machine learning models at scale in production environments”
The ad says“Experience in writing technical documentation, mentoring, and presenting to technical audiences”
The ad says“Experience in writing technical documentation, mentoring, and presenting to technical audiences”
The ad says“You are comfortable writing production quality code (we use Python)”
The ad says“Expertise with deep learning frameworks (we use PyTorch)”
The ad says“Experience in writing technical documentation, mentoring, and presenting to technical audiences”
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
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
Benefits
Competitive Compensation + Equity
Medical, Dental, Vision Insurance
Commuter Stipend
Professional Development Stipend
Health & Wellness Benefits
Charitable Matching Program
Flexible PTO
Paid Parental Leave
401k Plan
Preferred experience
Are driven by impact and enjoy working on high-stakes, high-visibility projects
Thrive in cross-functional teams and enjoy building features alongside developers and product teams
Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members
You are comfortable writing production quality code (we use Python)
Experience in writing technical documentation, mentoring, and presenting to technical audiences
Expertise with deep learning frameworks (we use PyTorch)
Minimum 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field
Proven track record of owning a system, feature, or component, leading or collaborating with multiple engineers and teams
Familiarity in deploying machine learning models at scale in production environments
Demonstrated expertise building production-grade agentic systems and tools
Minimum 6+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field
