Sentry
Staff Machine Learning Engineer, AI
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco, California
Employer listed it yesterday · Added 4 days ago
First listed 4 days ago and still open.
Salary
$240,000 to $400,000
Location
Hybrid · San Francisco, California
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Data
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, California, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, California, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
Requirements
- ·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)
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Sentry, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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