Sentry

Staff Machine Learning Engineer, AI

Sentry
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1 year ago

Base Salary

$210k - $280k/yr

Responsibilities

  • Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues.
  • Use Sentry’s large dataset of errors, spans, and profiles to develop AI/ML capabilities.
  • Own major AI/ML initiatives integrated into Sentry’s core products.
  • Collaborate with developers and product teams to build cross-functional features.

Requirements

  • At least 4 years of professional experience with a master’s or PhD in computer science, machine learning, or a related field, or at least 6 years with a bachelor’s degree in one of those fields.
  • Demonstrated expertise building production-grade agentic systems and tools.
  • Production-quality Python programming experience.
  • Expertise with deep learning frameworks, particularly PyTorch.
  • Familiarity with deploying machine learning models at scale in production environments.
  • Experience writing technical documentation, mentoring, and presenting to technical audiences.
  • Proven ownership of a system, feature, or component while leading or collaborating with multiple engineers and teams.

Benefits

  • Hybrid work model with Mondays, Tuesdays, and Thursdays as in-office anchor days.
  • Eligibility for employee benefit plans, including incentive compensation, equity grants, paid time off, and group health insurance coverage.

Tech Stack

Categories

Sentry

About Sentry

201-500 employees

Sentry builds application monitoring and error/performance tracking tools for software developers, delivered as a SaaS with open-source SDKs and integrations. Teams use Sentry to detect, triage, and resolve production issues across web and mobile apps; the platform is used by 200,000+ organizations. Founded in 2011 and headquartered in San Francisco, Sentry is a privately held company.

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