# Staff Machine Learning Engineer, AI **Company:** [Sentry](https://scaleengineer.com/companies/sentry) Sentry is seeking a Staff Machine Learning Engineer to drive innovative AI solutions in software monitoring. The ideal candidate will develop cutting-edge agentic AI systems to help companies diagnose and resolve software issues more efficiently, leveraging Sentry's unique error and performance datasets. **Role:** Machine Learning Engineer **Seniority:** Staff **Locations:** San Francisco, California **Salary:** 210000–280000 USD [Apply](https://jobs.ashbyhq.com/sentry/81f09568-da7d-4ed1-8283-614f846c9b00) Canonical: https://scaleengineer.com/jobs/sentry/staff-machine-learning-engineer-ai --- ## Responsibilities - AI System Development: Build state-of-the-art agentic AI systems for triaging, debugging, and solving real production software issues - Data Leveraging: Utilize Sentry's extensive dataset of errors, spans, and profiles to develop advanced machine learning solutions - Initiative Ownership: Lead and develop major initiatives in the AI/ML space, driving innovation in software monitoring technologies ## Requirements ### education - {"name":"Advanced Degree","description":"MS/PhD in Computer Science, Machine Learning, or related field (or equivalent professional experience)"} ### technical - {"name":"Programming","description":"Production-quality Python coding skills"} - {"name":"Machine Learning Frameworks","description":"Expert-level proficiency with PyTorch and deep learning frameworks"} - {"name":"Model Deployment","description":"Experience in deploying machine learning models at scale in production environments"} ### experience - {"name":"Professional Experience","description":"Minimum 4+ years with MS/PhD, or 6+ years with Bachelor's degree in relevant field"} - {"name":"Agentic Systems","description":"Demonstrated expertise in building production-grade agentic AI systems"} ## Skills ### required - {"name":"Python","description":"Strong production-level coding skills in Python"} - {"name":"PyTorch","description":"Expertise in deep learning frameworks, specifically PyTorch"} - {"name":"Machine Learning","description":"Advanced machine learning model development and deployment"} ### preferred - {"name":"Technical Communication","description":"Strong skills in technical documentation and presentation"} - {"name":"Cross-functional Collaboration","description":"Experience working with multiple engineering teams and stakeholders"} ## Tech stack ### tools ### others - {"name":"AI Systems","description":"Agentic AI development for software monitoring"} ### databases ### languages - {"name":"Python","description":"Primary programming language for machine learning and production code"} ### frameworks - {"name":"PyTorch","description":"Deep learning framework used for AI model development"} ## Benefits ### benefits - {"name":"Health Insurance","description":"Comprehensive group health insurance coverage"} - {"name":"Equity Grants","description":"Stock options and equity compensation"} - {"name":"Paid Time Off","description":"Competitive paid time off policy"} ## Compensation - **max:** 280000 - **min:** 210000 - **currency:** USD - **stockOptions:** true ## Interview process ### steps - {"name":"Initial Screening","description":"Initial resume and background review"} - {"name":"Technical Assessment","description":"Comprehensive technical evaluation of machine learning and coding skills"} - {"name":"Team Interviews","description":"Multiple interviews with AI/ML team members and cross-functional stakeholders"} - {"name":"Final Interview","description":"Final discussion with senior leadership and potential team managers"} ## Full description ## **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 across our global hubs, 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 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 $210,000 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](https://sentry.io/careers/) 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 [accommodations@sentry.io](mailto:accommodations@sentry.io). Want to learn more about how Sentry handles applicant data? Get the details in our [Applicant Privacy Policy](https://sentry.io/careers/applicantprivacy/).