Remote opportunity at
GauntletResearch Engineer
Gauntlet is seeking a remote Research Engineer to design evaluation frameworks and improve how artificial intelligence agents operate throughout the business. Operating at the intersection of…
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About This Role
Gauntlet is seeking a remote Research Engineer to design evaluation frameworks and improve how artificial intelligence agents operate throughout the business. Operating at the intersection of quantitative research, artificial intelligence, and decentralized finance, the employer develops financial systems and vault products that serve large fintechs, neobanks, protocols, and institutional clients. This position combines applied research with core engineering tasks, requiring the selected professional to build assessment datasets, create sandbox environments,…
Job Description
Gauntlet is seeking a remote Research Engineer to design evaluation frameworks and improve how artificial intelligence agents operate throughout the business. Operating at the intersection of quantitative research, artificial intelligence, and decentralized finance, the employer develops financial systems and vault products that serve large fintechs, neobanks, protocols, and institutional clients. This position combines applied research with core engineering tasks, requiring the selected professional to build assessment datasets, create sandbox environments, diagnose model failures, and contribute directly to production-ready agent harnesses such as the in-house generalist agent Aria.
Initially, the work centers on shipping engineering improvements and integrations before transitioning toward open-ended research into agent behavior, infrastructure, and reusable knowledge systems. Candidates will collaborate closely with infrastructure, security, and quantitative teams to ensure agents function reliably and safely within production environments.
This role suits practitioners with strong software engineering skills in Python who enjoy tackling complex, open-ended problems, designing rigorous experiments, and shipping practical solutions. While experience in digital assets or decentralized finance is not required, applicants must be eligible to work within the contiguous United States and Canada.
Responsibilities
- Build evaluation datasets, sandbox environments, and performance metrics for real-world tasks
- Design experiments to compare models, execution environments, tool usage, and agent harnesses
- Investigate agent failures to determine whether issues stem from models, prompts, tooling, or harnesses
- Contribute to production-ready agent systems, including the internal generalist agent Aria
- Develop shared knowledge frameworks and reusable agent skills that improve over time
- Collaborate with infrastructure and security teams to maintain reliable and safe production operations
Requirements
- Hands-on background building, assessing, or refining language models or agents through work, research, or personal projects
- Strong proficiency in Python alongside solid software engineering fundamentals
- Experience in applied research, data science, or machine learning, including experimental design
- Solid comprehension of language model agents beyond prompt writing, encompassing tool use and failure modes
- Ability to decompose open-ended problems into testable questions and drive them toward independent solutions
- Familiarity with building tools or systems utilized by others and evaluating their broader effectiveness
- Capacity to collaborate across research and engineering teams while adapting to shifting priorities
Qualifications
- Prior background building evaluation pipelines, reinforcement learning environments, or model testing infrastructure
- Contributions to open-source agent frameworks, harnesses, or benchmarking datasets
- Familiarity with agent frameworks like Hermes or OpenClaw
- Experience in applied machine learning research, fine-tuning, model training, or reinforcement learning
- Advanced degree or postgraduate research background in mathematics, computer science, statistics, or machine learning
- Background in quantitative research, financial markets, risk modeling, or decentralized finance
- Understanding of artificial intelligence security topics such as access controls and prompt injection
Core Skills
Benefits
- Remote-first work environment across the contiguous United States and Canada
- Regular in-person company retreats and cross-country office visit perks
- Full medical, dental, and vision insurance premiums covered 100 percent for employees
- One thousand dollar work-from-home stipend
- Monthly reimbursements for home internet, mobile phone, and cellular data
- Unlimited vacation policy
- Twelve weeks of fully paid parental leave
- Fertility benefits
- Opportunity for incentive compensation and company equity
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies a remote-first arrangement, though hiring is currently reserved for individuals able to work within the contiguous United States and Canada.
What is the salary range for this role?
The national base salary range is between $175,000 and $195,000 per year, with additional target earnings potential based on level and company equity.
Do I need prior experience in crypto or DeFi to apply?
No prior experience in crypto or decentralized finance is required, as strong research and engineering fundamentals are prioritized.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.