Jobs in the United States

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Added 2 mins ago
AI Engineer - Graduate
Thales Avionics, Inc. (IFE)
United States
…years’ experience in software engineering, cloud development, machine learning, AI engineering, or a related technical…
Added 4 mins ago
Agentic AI - PhD Intern (Modeling Agent)
Keysight Technologies, Inc.
Calabasas, CA · Santa Rosa, CA
Keysight's AI team builds adaptive engineering intelligence systems where measurement, simulation, and machine learning converge. This PhD internship focuses on the agentic layer that makes…
Added 4 mins ago
Machine Learning - PhD Intern (Modeling and Data Analysis)
Keysight Technologies, Inc.
Calabasas, CA · Santa Rosa, CA
This internship focuses on machine learning surrogate models for engineering simulation and measurement. High-fidelity simulations and physical measurements can dominate the design and test…
Added 7 mins ago
Senior Human Factors Engineer (HFE)
The MITRE Corporation
McLean, VA
As a Senior HFE at MITRE, you will apply and expand your expertise across UX, UI, front-end engineering, and human-machine teaming while contributing to meaningful projects supporting…
Added 7 mins ago
Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
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Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 7 mins ago
Human Factors Engineer (HFE) Lead
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Added 11 mins ago
Senior DevOps Engineer
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…treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for…
Added 14 mins ago
A
Electrical Engineer
Actalent
Melville, NY
- $100,000 to $125,000 USD / year
Job Title: Electrical EngineerJob DescriptionThe Electrical Engineer develops concepts, designs, and documentation for electrical power distribution, control, and instrumentation systems…
Added 15 mins ago
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Industrial Engineering Analyst
Actalent
Austin, TX
- $65 to $70 USD / hour
Familiarity with AI and machine learning applications in manufacturing analytics.
Added 28 mins ago
OA
Software Engineer - Behaviors & Planning
Overland AI
Seattle, WA
- $160,000 to $190,000 USD / year
…modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit…
Added 30 mins ago
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Principal Artificial Intelligence Engineer
Aerospace
Plymouth, MN
- $214,000 to $268,000 USD / year
As a Principal Artificial Intelligence Engineer, you will serve as a technical leader within Honeywell's Advanced Projects organization, applying cutting-edge AI technologies to create…
Added 42 mins ago
Research Engineer 6 - TL, Messaging Algorithms
Netflix
Los Gatos
10+ years of experience applying machine learning in an industry setting, with a track record of delivering impactful production systems
Added 44 mins ago
Senior ML Engineer
Relae
Remote, United States
Relae is seeking an AI/ML Engineer for our Power, Data and Innovation team. This role will be responsible for designing, building, training, and maintaining machine learning models for…
Added 49 mins ago
Staff AI/ML Software Engineer - Level 5
CORP-Corporate Office
United States
…has an exciting career opportunity for a Staff AI Software Engineer – TASD AI/ML Lead to guide and drive our artificial intelligence and machine learning initiatives (AI/ML), at Schriever…
Added 53 mins ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 53 mins ago
Data Engineer, Mid
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Aurora, CO · Alexandria, VA
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 1 hour ago
Applied Research Lead, AI for Teaching
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Stanford, CA
…students who build and validate models. You do not need to be a machine learning engineer, but you do need to be fluent enough to work directly with data and with partners’ engineering…
Added 1 hour ago
Research Engineer
Gauntlet
Remote, United States
Experience with applied research, machine learning or data science, including designing experiments, working with datasets and drawing conclusions from results.
Added 1 hour ago
Data Engineer - Data Domain Architect Associate Senior - Payment Operations
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…Intelligence tools and analytical tools, unstructured data, machine learning,…
Added 1 hour ago
Algorithm Engineer
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Added 2 hours ago
Engineering Academy Associate Engineer
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The Engineering Academy Associate Engineer is an entry-level engineering position designed for recent graduates participating in the Engineering Academy, a structured two-year development…
Added 2 hours ago
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Senior Infrastructure Software Engineer
Overland AI
Seattle, WA
- $200,000 to $240,000 USD / year
…modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit…
Added 2 hours ago
AI and DSP Applications Software Engineer
ON, CA
We are searching for a self-motivated AI and DSP Applications Software Engineer to join the AI Processor Solutions team, which is responsible for developing machine learning-based…
Added 2 hours ago
Lead Software Engineer - Enterprise AI Services & Agents
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Des Moines, IA
AWS certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning Engineer are a plus.
Added 2 hours ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.

Gauntlet

Research Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

The role

Gauntlet is looking for an AI Research Engineer to help improve how we build, evaluate and use AI agents across the business.

We already have agents running in production, including Aria, our in-house generalist agent. They're used across research, engineering and business workflows, and we've learned a lot from seeing how they perform in practice. Some tasks work extremely well; others produce inconsistent results, and changes to models or tooling can introduce unexpected problems. Today, much of that feedback is still subjective. We want to build a more systematic way of understanding what works, what doesn't and why.

A major part of this role will be building the evaluation frameworks that allow us to measure agent performance on real tasks. You'll work with our engineers, quantitative researchers and other teams to understand where agents struggle, turn those observations into measurable experiments, and use the results to improve the systems we're building.

You'll also contribute directly to our existing agents and internal tooling. Initially, the work will be more engineering-focused as you get familiar with our systems, shipping improvements and integrations that teams can use. Over time, you'll take on more open-ended research, helping us develop better approaches to evaluation, agent behaviour and infrastructure.

We're also thinking beyond individual agents. One of our longer-term goals is to build a shared system of knowledge and reusable skills that our agents can draw from and improve over time. You'll play an important role in developing that infrastructure and how we evaluate its effectiveness.

This is an applied research role with a meaningful engineering component. We're looking for someone who enjoys investigating difficult problems, can design good experiments and is comfortable building and shipping the solutions that come out of them.

About Gauntlet

Gauntlet builds the financial systems of the future. While much of onchain finance is focused on point solutions, we operate across the entire stack to offer best-in-class vault products. Today we serve over $1.7B in client TVL across some of the largest fintechs/neobanks, protocols, exchanges, and capital allocators in crypto - and, increasingly, traditional asset management. Our team brings together traditional finance and crypto-native expertise to deliver durable, sophisticated products for institutional clients moving onchain.

Why this role is different This is an opportunity to work at the intersection of AI, quantitative research and DeFi, tackling problems where advances in AI can have a direct impact on financial markets and onchain strategies.

You'll go beyond building individual agents, helping define how they're evaluated, how they learn from real-world tasks and how their capabilities scale across the business. With few established benchmarks in this space, you'll have the freedom to explore new approaches and take your ideas from research through to production, working directly with the teams putting them to use.

What you'll do;

Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics that measure performance on real-world tasks.
Design experiments to compare models, agent harnesses, tools and execution environments, identifying regressions and understanding the trade-offs between performance, reliability and cost.
Work with teams across Gauntlet to turn qualitative feedback about agent behaviour into concrete research questions, experiments and measurable outcomes.
Investigate agent failures, understand whether problems come from the model, harness, tooling or prompting, and develop ways to improve performance.
Build and improve agent harnesses, internal tools and integrations, including contributing to Aria and other agents used across the business.
Help develop shared knowledge and reusable skills across agents, creating systems that can learn from previous work and improve over time.
Work alongside Infrastructure and Security to ensure agents can operate reliably and safely within our production environment.

What we're looking for;

Hands-on experience building, evaluating or improving LLM models or agents, whether through professional work, applied research, open-source contributions or substantial personal projects.
Strong Python skills and good software engineering fundamentals. You're comfortable writing production-quality code and understand the importance of testing, maintainability and reliability.
Experience with applied research, machine learning or data science, including designing experiments, working with datasets and drawing conclusions from results.
A good understanding of how LLM agents work beyond prompting, including tool use, harnesses, context management and common failure modes.
The ability to take an open-ended problem, break it down into testable questions and work independently towards a solution.
Experience building tools or systems that other people use, with an understanding of how to evaluate their effectiveness beyond technical benchmarks.
Comfort working across research and engineering, collaborating with different teams and adapting as priorities change.
Genuine interest in AI agents and how they can be made more capable, reliable and useful.

Nice to have;

Experience building LLM evaluation pipelines, benchmarks, reinforcement learning environments or model testing infrastructure.
Contributions to open-source agent frameworks, harnesses, evaluation datasets or benchmarks.
Experience with agent frameworks such as Hermes, OpenClaw or similar tools.
Experience in applied ML research, model training, fine-tuning or reinforcement learning.
An advanced degree or postgraduate research experience in computer science, mathematics, statistics, machine learning or a related field.
Experience in financial markets, quantitative research, DeFi or risk modelling.
Familiarity with AI security considerations, including access controls, prompt injection and data protection.

You don't need prior experience in crypto or DeFi. Strong research and engineering fundamentals matter more, and you'll work closely with people across Gauntlet who understand the financial systems and strategies our agents support.

We expect strong candidates to have experience working in a professional engineering or research environment, but we're more interested in what you've built and how you approach problems than a specific number of years on your CV.

Benefits & Perks;

• Remote first - work from anywhere in the United States

• Regular in-person company retreats and cross-country "office visit" perk

• 100% paid medical, dental, and vision premiums for employees

• $1,000 WFH stipend

• Monthly reimbursement for home internet, phone, and cellular data

• Unlimited vacation

• 100% paid parental leave of 12 weeks

• Fertility benefits

• Opportunity for incentive compensation

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $175,000 - $195,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

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Skills

Research
Python
Machine learning
Work independently
ML
Computer science
Statistics
Financial markets
Data protection

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