Machine Learning Engineer

As a Machine Learning Engineer on Sentry's AI/ML team, you'll be directly responsible for developing the models and algorithms used to make our product smarter and more capable. This role is crucial; you will be at the forefront of integrating machine learning into our core products, from error classification 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:

• Solve hard problems in the fields of time-series analysis and NLP
• Work directly with Sentry's novel (and massive) dataset of errors, spans, and profiles
• Own the development of major initiatives

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 2+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field
• Minimum 4+ years of professional experience with Bachelor's degree in computer science, machine learning, or a related field
• You are comfortable writing production quality code (we use Python)
• Expertise with deep learning frameworks (we use PyTorch)
• Expertise applying statistical techniques and algorithms to time-series data
• Familiarity with OLAP databases, ideally in the context of time-series data
• 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

Sentry is committed to providing equal employment opportunities and fostering an inclusive work environment. We offer competitive compensation, comprehensive benefits, and the opportunity to work on cutting-edge machine learning projects that impact thousands of companies worldwide.