Staff Machine Learning Engineer, AI
Develops state-of-the-art agentic AI systems for issue triage, debugging, and predictive analytics using Sentry's error datasets. Requires 4+ years experience (with MS/PhD) or 6+ (with Bachelor's), Python, PyTorch expertise, and production ML deployment skills.
About the job
Responsibilities
- 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
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
- Comfortable writing production quality code (Python)
- Expertise with deep learning frameworks (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
Compensation
Base salary range: $210,000 to $280,000, plus incentive compensation, equity grants, paid time off, and group health insurance.
Skills
Python, PyTorch, Machine Learning, Deep Learning, Agentic AI, Model Deployment, Production Ml Systems
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