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Research Engineer

4 days, 12 hours ago
United States, Canada
Full-time
Mid Level
Research Scientist
Software Development
LLM Machine Learning Python Reinforcement Learning
Apply Now

Gauntlet

Gauntlet is a DeFi infrastructure and research company that provides quantitative risk management, simulation, and institutional yield products for crypto-native financial applications and protocols. Its public materials emphasize safer onchain yield, protocol optimization, and institutional capital deployment.

Software Development
51-200
Founded 2018
View All Jobs 6

Description

  • Build evaluation frameworks for AI agents, including datasets, sandbox environments, and real-world performance metrics.
  • Design experiments comparing models, agent harnesses, tools, and execution environments to assess performance, reliability, and cost.
  • Translate qualitative feedback from cross-functional teams into research questions, measurable experiments, and improvements.
  • Investigate agent failures across models, prompts, harnesses, and tooling, and implement performance improvements.
  • Build and enhance agent harnesses, internal tools, integrations, Aria, and other production agents.
  • Develop shared knowledge and reusable skills systems that enable agents to learn from prior work.
  • Collaborate with Infrastructure and Security teams to operate agents reliably and safely in production.
  • Conduct open-ended applied research on agent evaluation, behavior, and infrastructure, taking ideas through production deployment.

Requirements

  • Hands-on experience building, evaluating, or improving LLMs or AI agents through professional work, applied research, open-source contributions, or substantial personal projects.
  • Strong Python skills and software engineering fundamentals, including production-quality code, testing, maintainability, and reliability.
  • Experience in applied research, machine learning, or data science, including experiment design, dataset work, and interpreting results.
  • Understanding of LLM agent tool use, harnesses, context management, and common failure modes beyond prompting.
  • Ability to break open-ended problems into testable questions and work independently toward solutions.
  • Experience building tools or systems for other users and evaluating their effectiveness beyond technical benchmarks.
  • Ability to collaborate across research and engineering teams and adapt to changing priorities.
  • Professional engineering or research environment experience; demonstrated work and problem-solving approach matter more than a specific number of years.
  • Experience with LLM evaluation pipelines, benchmarks, reinforcement learning environments, or model testing infrastructure (preferred).
  • Experience with agent frameworks such as Hermes, OpenClaw, or similar tools; applied ML research, model training, fine-tuning, reinforcement learning, financial markets, DeFi, risk modeling, or AI security (preferred).

Benefits

  • $175,000–$195,000 base salary, plus on-target incentive compensation and company equity.
  • Remote-first work from anywhere in the contiguous United States or Canada.
  • 100% employer-paid medical, dental, and vision premiums for employees.
  • $1,000 work-from-home stipend plus monthly internet, phone, and cellular reimbursement.
  • Unlimited vacation and 12 weeks of fully paid parental leave.
  • Fertility benefits.
  • Regular in-person company retreats and cross-country office visits.

Interested in this position?

Apply directly on the company website

Apply Now

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