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Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology.
With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products.
Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.
As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be directly responsible for developing the platform used by our debugging agents. 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 platforms 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
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
Minimum 5+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field
Demonstrated expertise building production-grade agentic systems and tools
You are comfortable writing production quality code (we use Python and Typescript)
Familiarity with deep learning frameworks (we use PyTorch)
Familiarity in deploying machine learning models at scale in production environments
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $150,000 to $190,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.
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Sentry provides open source error tracking that gives you insight into every crash in your stack as it happens, with the details needed to prioritize, identify, reproduce, and fix each issue. Sentry offers a perspective that enables you to see which errors are doing the most harm to your business and help you understand how issues affect your bottom line. Sentry was conceived in 2010 with a simple aim of illuminating production application issues. It started as a tiny bit of Open Source code, and has since expanded to an incredible team and hundreds of contributors, and now support all popular languages and platforms. Each month we process billions of exceptions from the most popular products on the internet. Users and logs provide clues. Sentry provides answers.
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