Staff Machine Learning Engineer, AI
Company websitesentry.io (Sentry, opens in new tab)
Base salary $240K to $400K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (7 min ago) · observed since
About this job
About Sentry
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
About the role
As a Staff Machine Learning Engineer on Sentry’s AI/ML team, you’ll be directly responsible for developing the models and agents used to make our product smarter and more capable. 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.
In this role you will
Build state-of-the-art agentic AI systems 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
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 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field
Minimum 6+ 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)
Expertise with deep learning frameworks (we use PyTorch)
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
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $400,000. 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.
Source: Sentry on Ashby · View original posting (opens in new tab)
This listingStaff Machine Learning Engineer, AI$240K to $400K
Director, FP&A$240K to $280K
Engineering Manager, Billing Platform$240K to $450K
Staff Software Engineer, Issues$240K to $400K
Engineering Manager, Infrastructure$220K to $400K
Engineering Manager, Events Analytics Platform$220K to $400K
Staff Software Engineer, AI Developer Tooling$220K to $400K
Chart as a table
| Role | Published base |
|---|---|
| Staff Machine Learning Engineer, AI (this listing) | $240K - $400K |
| Director, FP&A | $240K - $280K |
| Engineering Manager, Billing Platform | $240K - $450K |
| Staff Software Engineer, Issues | $240K - $400K |
| Engineering Manager, Infrastructure | $220K - $400K |
| Engineering Manager, Events Analytics Platform | $220K - $400K |
| Staff Software Engineer, AI Developer Tooling | $220K - $400K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-22
Where this pay comes from
Location as the employer wrote it: San Francisco, California
USD 240,000 – 400,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
