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  1. Home
  2. Engineering
  3. Sentry
  4. Senior Software Engineer, AI Eval
Sentry

Senior Software Engineer, AI Eval

Sentry•Engineering
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San Francisco·Hybrid·US Only
Full-time
Senior
$240,000 – $280,000
3 days ago

Location requirements

  • This position is available to candidates in US
TypeScriptPythonSentryMachine Learning
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About this role

About Sentry

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.

About the role

As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for building the evaluation infrastructure that measures the accuracy, reliability, and real-world performance of our AI systems. This role is critical to ensuring that our debugging agents and AI-powered features behave correctly, safely, and predictably as they scale. You’ll design datasets, benchmarks, and test harnesses that turn ambiguous AI behavior into measurable signals, helping the team ship AI with confidence.

In this role you will

  • Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems

  • Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data

  • Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows

  • Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria

  • Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring

You’ll love this job if you

  • Care deeply about correctness, rigor, and measurement in AI systems

  • Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics

  • Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team

  • Thrive in cross-functional environments and enjoy influencing model design through better evaluation

Qualifications

  • Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learning, or a related field

  • Experience building testing, evaluation, or data infrastructure for complex systems (AI/ML experience strongly preferred)

  • Comfort writing production-quality code (we use Python and TypeScript)

  • Experience working with structured and unstructured datasets, labeling workflows, or data quality pipelines

  • Familiarity with modern ML systems and evaluation techniques (e.g., offline metrics, online evaluation, regression testing for models or prompts)

  • Bonus: experience evaluating LLMs, agentic systems, or AI-assisted developer tools

The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $280,000. 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.

Equal Opportunity at Sentry

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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Requirements

  • Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learning, or a related field
  • Experience building testing, evaluation, or data infrastructure for complex systems (AI/ML experience strongly preferred)
  • Comfort writing production-quality code (we use Python and TypeScript)
  • Experience working with structured and unstructured datasets, labeling workflows, or data quality pipelines
  • Familiarity with modern ML systems and evaluation techniques (e.g., offline metrics, online evaluation, regression testing for models or prompts)
  • Bonus: experience evaluating LLMs, agentic systems, or AI-assisted developer tools

Benefits

Diversity & InclusionEquity/Stock OptionsGenerous PTOHealth InsuranceHybrid WorkOnline Learning

About Sentry

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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