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SENTRY

Staff Machine Learning Engineer, AI

  • Hybrid
  • 6+ years

Salary

$240,000 - 400,000/ year

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Description

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

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)
  • 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.

Where you’d work

Part of the week in the office

The office

You can work from

  • United States

About the company

SENTRY

  • Industry: SaaS

Office in San Francisco, United States

Also hiring in Toronto, Canada and Vienna, Austria

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
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  • Must-haves
Details14 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • PyTorch
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
SaaS
Specialty
ML
Show 8 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
4+ years
Tech stack
  • Python
  • PyTorch

Location

Work model
Hybrid
Region
United States
Office
  • San Francisco, United States
Remote from
  • United States

Compensation

Salary
$240,000 - 400,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
SaaS

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