AI Researcher
Traversal· Research
New York$160k - $300kFull-timePosted 6mo ago
About the role
AI Researcher role focused on improving accuracy and speed of Traversal's agents that autonomously diagnose and resolve production incidents in large enterprises. Hands-on, production-oriented research with design, experimentation, and ship-to-production responsibilities.
Responsibilities
- LLM & Agent Research: Prototype and evaluate prompting strategies, reasoning workflows, and tool-use policies for agents operating on large-scale observability data and complex troubleshooting workflows. Ship improvements to production.
- Evaluation Design: Build and maintain eval harnesses that measure real accuracy improvements on actual customer incident types — not just benchmark scores. Own the loop from hypothesis to production measurement.
- Cross-Team Collaboration: Work closely with AI engineers, infrastructure teams, and product leads to bring research into production and close the loop between experimentation and impact.
- Stay on the Frontier: Track developments in LLMs, agent architectures, and AI alignment, translating insights into actionable improvements for Traversal’s domain.
- Training & Alignment: Apply fine-tuning, reinforcement learning, and reward modeling techniques to align AI behavior with real-world SRE workflows.
- Synthetic Data & Experimentation: Design pipelines to generate synthetic incidents and observability signals, enabling scalable training and testing in data-scarce environments.
Qualifications
- PhD in Computer Science, Electrical Engineering, Statistics, or a related technical field; demonstrated depth in LLMs, agents, or applied machine learning
- Deep applied AI expertise, including strong working knowledge of LLMs, transformers, reinforcement learning, or neural networks in agentic systems
- Strong judgment in model evaluation and experimental iteration to improve product accuracy and behavior
- Strong software engineering depth, with the ability to work effectively in a complex production codebase and ship production-quality code
- Some experience shipping AI or ML systems to production
- Ability to run rigorous experiments, interpret results, and quickly translate learnings into product improvements
- Startup or early-team experience, with comfort operating in ambiguous environments and building without mature infrastructure
Skills
Required:LLMs and agent systemsEvaluation design and experimental mindsetSoftware engineering in production environments
Benefits
- health insurance
- startup equity
- fertility benefits
- tech setup stipend
- flexible time off
- in-office snacks
- team happy hours and outings
- annual company offsite
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Traversal
The only AI SRE for the enterprise
Traversal cuts through alert noise, surfaces root causes, and guides your team to remediation — so incidents get fixed in minutes, not hours.
AISREcomplex systemsalertingroot cause analysisincident preventionenterprise
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