About this role
Role Overview
The Staff Machine Learning Engineer, AI position at Sentry (Sentry) is an impactful engineering role based in San Francisco, California, with remote flexibility available. This opportunity suits an experienced machine learning professional who wants to build the AI-native future of application monitoring and help developers resolve errors more efficiently.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Sentry provides application monitoring and error tracking software trusted by over 200,000 organizations globally to help development teams identify and resolve errors before users experience them. The open-source company is dedicated to fostering a diverse team and an inclusive workplace culture.
How to Apply
Interested candidates should visit the official Sentry careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
What is the location for the Staff Machine Learning Engineer role?
The job is based in San Francisco, California, with remote work options available.
What is the salary range for this position?
The expected base salary ranges from $240,000 to $400,000 per year.
What programming language and frameworks are required?
Candidates must write production-quality code in Python and have expertise with deep learning frameworks like PyTorch.
What level of experience is required to apply?
Applicants need a minimum of 4 years of professional experience with an MS or PhD degree, or at least 6 years of professional experience with a Bachelor's degree in computer science, machine learning, or a related field.
What benefits are included with the job?
Eligible employees can participate in Sentry's benefit programs, which include incentive compensation, equity grants, group health insurance coverage, and paid time off.