Senior Software Engineer, AI
Develops agentic AI platforms for triaging, debugging, and resolving production issues using Sentry's error datasets. Requires 5+ years experience, Python/TypeScript proficiency, PyTorch, and expertise in scalable ML deployment.
About the job
Responsibilities
- Build state-of-the-art agentic AI platforms 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 5+ 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 and Typescript)
- Familiarity with deep learning frameworks (PyTorch)
- Familiarity in deploying machine learning models at scale in production environments
Compensation
Base salary range: $190,000 to $288,000 USD. Eligible for incentive compensation, equity grants, paid time off, and group health insurance.
Skills
Python, TypeScript, PyTorch, Machine Learning, AI, Deep Learning, Agentic Systems
Similar jobs
ML Engineering jobsBuild and lead production AI products, including agent systems that use tools, retrieve context, and complete complex tasks reliably. The role requires strong full-stack engineering, deep language-model experience, product judgment, and ownership from experimentation through production.
Build and operate large-scale machine learning infrastructure and models for Reddit’s recommendation and personalization systems. The role requires 5+ years of ML engineering experience, expertise in deep learning and distributed systems, and proficiency with Python and modern ML frameworks.
Senior machine learning engineer who will build and operate large-scale AI systems for Airbnb’s payments ecosystem, including LLM agents, fraud defenses, and personalization. The role requires 5+ years of applied AI/ML experience, strong Python or Java skills, and production MLOps expertise.
Build and operate large-scale infrastructure for autonomous-driving model training, including distributed GPU systems, data pipelines, ML workflows, and reliability tooling. The role requires 3+ years of experience, strong Python and systems-language skills, Kubernetes expertise, and distributed-systems fundamentals.
Leads the design, deployment, and optimization of agentic and generative AI systems that automate risk and compliance investigations at scale. Requires 8+ years of machine learning modeling experience, production ML expertise, and advanced technical education.