Remote jobs in the United States

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TRM Labs
Remote, United States
- 5+ years in pre- and post-sales technical roles (Solutions Architect, Sales Engineer, Solutions Engineer, or Customer Success Engineer), increasingly using AI tools in your workflow.
Added 3 mins ago
Cloud Infrastructure Engineer
Strategic Staffing Solutions
Remote, United States
Job Title: Cloud Infrastructure Engineer (GCP/Azure)
Added 11 mins ago
Senior IT Security Operations Engineer (Remote)
Lakeshore Learning Materials, LLC
Remote, United States
…partnerships. We are currently seeking a Senior IT Security Operations Engineer to join our IT Security team. In this role, you will own the administration and optimization of the security…
Added 25 mins ago
Implementation Engineer
Keeper Security
Remote, United States
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Senior Software Engineer, Agentic Systems
NVIDIA USA
Remote, United States
We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role will focus on…
Added 26 mins ago
Cloud Engineer
EPC POWER CORP.
Remote, United States
EPC Power is looking for a Cloud Engineer to help design, build, and maintain the cloud infrastructure that powers our software products and data platforms. You will work closely with other…
Added 26 mins ago
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Senior Product Engineer
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Remote, United States
- $160,000 to $220,000 USD / year
You are an engineer who owns problems from the first conversation to the shipped change. You learn a domain by sitting with the people who work in it, and you turn what you see into…
Added 26 mins ago
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Staff Engineer
MOXFIVE
Remote, United States
- $200,000 to $250,000 USD / year
- Language Expertise: Deep expertise in Go or Python and strong in the other, including the runtime, concurrency models, and memory management of each.
Added 28 mins ago
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Senior Security Engineer
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Remote, United States
- $160,000 to $185,000 USD / year
RTA is looking for a Senior Security Engineer to protect every layer of our tech stack and culture. Our Fleet360 platform is a multi-tenant SaaS on AWS. Hundreds of fleets rely on it,…
Added 34 mins ago
Forward Deployed Engineer
DigiCert
Remote, United States
Strong coding ability in Python or TypeScript/JavaScript. You write, test, review, and deploy your own code, and you are fluent with APIs, webhooks, data pipelines, and authentication…
Added 34 mins ago
Go-To-Market Engineer
Raydar
Remote, United States
Added 34 mins ago
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Journeyman Test & Evaluation (T&E) Engineer
Mayvin, Inc
Remote, United States
- $120,000 to $130,000 USD / year
Mayvin is seeking a proactive and detail-oriented Journeyman Test & Evaluation Engineer with a focus on radiation detection to provide high-impact Advisory and Assistance Services (A&AS)…
Added 37 mins ago
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AI Engineer
Smart Circle International
Remote, United States
- $100,000 to $120,000 USD / year
The AI Engineer will support the design, building, and maintaining of AI-powered solutions across the organization, including AI agents for our analytics and customer success teams. You’ll…
Added 38 mins ago
Automation Engineer
Unisys Corporation
Remote, United States
We are seeking a motivated Automation Engineer with 3-5 years of experience to identify and eliminate repetitive manual work across our Steady State teams (Windows, Linux, Storage, and…
Added 38 mins ago
Automation Engineer
Unisys Corporation
Remote, United States
We are seeking a motivated Automation Engineer with 3-5 years of experience to identify and eliminate repetitive manual work across our Steady State teams (Windows, Linux, Storage, and…
Added 42 mins ago
Senior Support Engineer
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As a Technical Support Engineer at Redpanda, you will help our organization embody our commitment to delivering exceptional customer-centric technical support. Reporting directly to the…
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Senior Engineer, Exposure & Vulnerability Management
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Proficiency in one or more programming languages (for example Python, Go, Java) and strong scripting skills for automation and integration.
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Senior ML Engineer
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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…
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Senior Software Engineer
Akamai
Remote, United States
- $121,400 to $218,600 USD / year
You will be developing using Golang/Python involving complex threat detection algorithms in an ultra-high traffic environment. You will be involved in creating both platform and product…
Added 46 mins ago
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CUCM Engineer
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Remote, United States
- From $20 USD / hour
We are seeking a skilled CUCM Engineer with strong experience supporting and administering Cisco Unified Communications Manager environments and hands-on scripting experience in Python.…
Added 50 mins ago
Sales Engineer
GLOBO Language Solutions, LLC
Remote, United States
Primary Goal: As a Sales Engineer, you’ll be the technical expert in our sales process, partnering with Account Executives to help prospects understand how our solution solves their…
Added 52 mins ago
Senior Attack Engineer, GCP
Horizon3
Remote, United States
We're looking for an Attack Engineer with deep Google Cloud Platform (GCP) expertise to help build the next generation of cloud attack capabilities within NodeZero.
Added 52 mins ago
Senior Attack Engineer, Kubernetes
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We’re looking for a senior offensive security engineer to lead the development of Kubernetes attack capabilities in NodeZero. You’ll research how attackers move from a compromised workload…
Added 52 mins ago
Senior Attack Engineer, OCI
Horizon3
Remote, United States
We're looking for an Attack Engineer with Oracle Cloud Infrastructure (OCI) expertise to help build the next generation of cloud attack capabilities within NodeZero.
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Senior Software Engineer
Acxiom LLC
Remote, United States
We are looking for an experienced Java based Spark focused Software Engineer to join Acxiom’s data and identity delivery platform group. You will be joining a team responsible for…

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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