Staff Machine Learning Engineer, AI

SentrySentry·Remote(San Francisco, California)
AI & Machine Learning

WFA Digital Insight

The demand for machine learning engineers has grown significantly, with a 25% increase in job postings over the past year. As companies like Sentry invest in AI-powered software monitoring, the need for skilled professionals who can develop and integrate machine learning models has become more pressing. With the rise of remote work, companies are looking for candidates who can collaborate effectively with cross-functional teams and drive high-impact projects. Sentry's commitment to hybrid work models and employee benefits makes it an attractive option for those seeking a balanced work-life experience. Before applying, candidates should be prepared to demonstrate their expertise in building production-grade agentic systems and their ability to thrive in a fast-paced environment.

Job Description

About the Role

As a Staff Machine Learning Engineer at Sentry, you will be responsible for developing and integrating AI models that enhance the company's software monitoring capabilities. This role is crucial in helping companies worldwide gain actionable insights into their software, enabling them to build better products faster. You will be working closely with cross-functional teams, including developers and product teams, to build features that make a significant impact.

The AI/ML team at Sentry is at the forefront of integrating AI and machine learning into the company's core products. As a Staff Machine Learning Engineer, you will have the opportunity to work on high-stakes, high-visibility projects that drive business growth and customer satisfaction. Your work will involve building state-of-the-art agentic AI systems to triage, debug, and solve real production issues, leveraging Sentry's novel and massive dataset of errors, spans, and profiles.

Sentry's hybrid work model allows for a balance between in-office collaboration and remote work. As a Staff Machine Learning Engineer, you will be expected to work effectively in a team environment, communicate technical concepts clearly, and drive projects forward with minimal supervision.

What You Will Do

  • Build and deploy machine learning models that enhance software monitoring capabilities
  • Collaborate with cross-functional teams to develop and integrate AI-powered features
  • Develop and maintain technical documentation for AI/ML projects
  • Participate in code reviews and ensure high-quality code
  • Design and implement experiments to measure the effectiveness of AI models
  • Stay up-to-date with industry trends and advancements in machine learning
  • Own the development of major initiatives in the AI/ML space
  • Work closely with developers and product teams to integrate AI models into core products
  • Troubleshoot issues with AI models and resolve problems efficiently

What We Are Looking For

  • Minimum 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field
  • Demonstrated expertise in building production-grade agentic systems and tools
  • Experience with deep learning frameworks, such as PyTorch
  • Familiarity with deploying machine learning models at scale in production environments
  • Strong programming skills in languages like Python
  • Experience with writing technical documentation and presenting to technical audiences
  • Ability to work effectively in a team environment and communicate technical concepts clearly
  • Proven track record of owning a system, feature, or component, leading or collaborating with multiple engineers and teams

Nice to Have

  • Experience with cloud-based machine learning platforms
  • Familiarity with containerization using Docker
  • Knowledge of agile development methodologies
  • Experience with CI/CD pipelines and automated testing

Benefits and Perks

  • Competitive salary range
  • Equity grants
  • Paid time off and holidays
  • Group health insurance coverage
  • Remote work stipend
  • Professional development opportunities
  • Access to cutting-edge technologies and tools
  • Collaborative and dynamic work environment

How to Stand Out

  • When applying, make sure to highlight your experience with machine learning frameworks and your ability to deploy models at scale.
  • Showcase your coding skills by sharing examples of your work on platforms like GitHub.
  • Prepare to talk about your experience with deep learning frameworks and how you've applied them in previous roles.
  • Be ready to discuss your approach to troubleshooting issues with AI models and resolving problems efficiently.
  • Consider creating a portfolio that demonstrates your expertise in building production-grade agentic systems and tools.
  • Don't hesitate to ask about Sentry's approach to remote work and how the company supports employees in a hybrid work environment.

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