
About Sentry
Empowering developers to monitor and fix errors fast
Key Highlights
- Over 1 million developers and 70,000 organizations served
- Headquartered in San Francisco with a new office in Denver
- $216.5 million raised in Series D funding
- Global bug-tracking software market projected to reach $600 million by 2026
Sentry is a leading error tracking and application monitoring software provider, empowering over 1 million developers and 70,000 organizations, including Microsoft, Disney, and Slack. Headquartered in the Financial District of San Francisco, Sentry has raised $216.5 million in funding across multipl...
🎁 Benefits
Sentry offers competitive compensation with equity options, flexible PTO, a comprehensive 401k plan, and paid parental leave. Employees also enjoy a c...
🌟 Culture
Sentry fosters a culture focused on reliability and efficiency, helping developers enhance application health. The company emphasizes a remote-friendl...
Skills & Technologies
Overview
Sentry is hiring a Staff Machine Learning Engineer to develop AI models and agents that enhance their software monitoring tools. You'll work with Python and machine learning frameworks like TensorFlow and Keras in San Francisco. This role requires significant experience in AI and ML.
Job Description
Who you are
You have a strong background in machine learning and AI, with at least 5 years of experience developing models and systems that solve real-world problems. Your expertise in Python and familiarity with frameworks such as TensorFlow and Keras enable you to build state-of-the-art AI systems that enhance software performance monitoring.
You thrive in collaborative environments and enjoy working closely with cross-functional teams to integrate AI into core products. Your problem-solving skills are top-notch, and you have a passion for leveraging data to drive actionable insights. You understand the importance of building accessible software and are committed to making technology better for everyone.
What you'll do
As a Staff Machine Learning Engineer at Sentry, you will lead the development of innovative AI models that improve issue triage and resolution processes. You will leverage Sentry's extensive dataset to create predictive analytics tools that help companies monitor application performance effectively. Your role will involve owning major initiatives in the AI/ML space, ensuring that the solutions you develop are robust and scalable.
You will collaborate with product managers and engineers to define the requirements for AI features and ensure they align with user needs. Your work will directly impact how organizations utilize Sentry's tools, enabling them to build better software faster. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and growth within the team.
What we offer
Sentry embraces a hybrid work model, allowing you to work in the office on designated anchor days while also enjoying the flexibility of remote work. You will be part of a mission-driven company that values innovation and accessibility in software development. We offer competitive compensation and benefits, along with opportunities for professional development and career advancement.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Sentry.
Similar Jobs You Might Like
Based on your interests and this role

Machine Learning Engineer
Databricks is hiring a Staff Machine Learning Engineer to drive the development of GenAI-powered products. You'll work with technologies like Python and TensorFlow to enhance AI capabilities. This position requires significant experience in machine learning and data engineering.

Machine Learning Engineer
Uber is hiring a Staff Machine Learning Engineer to lead technical initiatives in the Consumer Incentives team. You'll work on enhancing user experience through machine learning and optimization solutions. This role requires 6+ years of experience in ML engineering and expertise in frameworks like PyTorch and TensorFlow.

Machine Learning Engineer
Uber is hiring a Staff Machine Learning Engineer to build and scale production-grade AI products. You'll work with machine learning, backend infrastructure, and distributed systems. This position requires strong expertise in AI and ML technologies.

Machine Learning Engineer
Headway is hiring a Staff Machine Learning Engineer to lead the development of a matching system that connects patients with mental health providers. You'll work on cutting-edge machine learning technologies to enhance user experience. This role requires significant experience in machine learning and software development.

Machine Learning Engineer
Quantcast is hiring a Senior Machine Learning Engineer to develop and maintain machine learning systems that optimize advertising technology. You'll work with large datasets and advanced algorithms to enhance the company's AI-powered Demand Side Platform. This role requires strong expertise in machine learning and data analysis.