Traversal
AI Researcher
New York · Full-time
Sponsorship not specified$160k-$300kDetected 417 days ago
DatadogSite Reliability EngineeringMachine LearningData EngineeringNLPLLMsAgentic AILangGraphStatisticsA/B TestingElectrical EngineeringResearchCollaboration
About the role
- As an AI Researcher at Traversal, you'll work on improving the accuracy and speed of our agents - systems that autonomously diagnose and resolve production incidents for some of the world's largest enterprises.
- This is a hands-on, production-oriented research role.
- The tooling and infrastructure are in place.
Responsibilities
- 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.
- Synthetic Data & Experimentation: Design pipelines to generate synthetic incidents and observability signals, enabling scalable training and testing in data-scarce environments.
- identify a failure mode in agent reasoning, design an intervention, evaluate it against real customer traces, and get it into production.
- It is a make-the-agent-work role - build-and-ship cutting edge AI.
Requirements
- 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
Nice to have
- Experience in SRE, observability, or backend systems, especially when paired with strong AI/ML depth
- Experience with RLHF, synthetic data pipelines, or LLM evaluation tooling
- Contributions to open-source agent frameworks such as LangGraph, DSPy, or similar
- top-tier conference publications are a plus
- Individual compensation is determined by experience, skills, and job-related knowledge.
- Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park.
- This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.
Compensation
- We offer competitive compensation, startup equity, health insurance, and additional benefits.
- The U.S. base salary range for this full-time, in-person role in New York is $160,000-$300,000, plus equity and benefits.
- Our salary ranges are based on location, level, and role.
- Individual compensation is determined by experience, skills, and job-related knowledge.
- We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
- Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park.
Benefits
- Training & Alignment: Apply fine-tuning, reinforcement learning, and reward modeling techniques to align AI behavior with real-world SRE workflows.
- We'll make sure you're fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks.
- Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly.
- Apply fine-tuning, reinforcement learning, and reward modeling techniques to align AI behavior with real-world SRE workflows.
Company info
- Traversal https://www.traversal.com/ is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents.
- Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.
- Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise.
- Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from
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This listing is sourced directly from Traversal's careers page and normalized into a canonical job model.