Quant / Trading Engineer at MLabs

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Signal Engineering, Agent Optimization, System Ownership, API Development, Correlation Detection, Regime Detection, Trader Tagging, Behavioral Taxonomy, Feature Engineering, Risk Indicators, Momentum Indicators, Schema Validation, High-Throughput Data, Low Latency, Onchain Perps Expertise, Autonomy

Industry

IT Services and IT Consulting

Description

Quant / Trading Engineer Location: US remote preferred, open to Europe for strong candidates Compensation: Competitive We are building a foundational layer for the next generation of financial markets: perpetual markets based on onchain economic activity. Instead of merely pricing assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of applications, protocols, and infrastructure within the onchain economy. We deploy directly into the Hyperliquid ecosystem, optimizing discovery and execution through our dedicated application. As a member of our early-stage team, you will work at the intersection of quantitative finance, crypto market structure, and high-performance onchain data systems. Your mission is to build the signal layer and APIs that make autonomous trading agents materially more effective. You won’t just be moving data; you’ll be converting raw market behavior into high-fidelity, agent-readable signals. What You Will Do Signal Engineering: Convert raw market data and trader behavior into structured, agent-readable signals and production-grade APIs. Agent Optimization: Design features specifically intended to reduce ambiguity for autonomous agents, minimizing the need for complex "prompt-wrangling." System Ownership: Ship and maintain pipelines and services that run continuously, ensuring high availability and evolving over time. Output Delivery: Develop and refine target outputs including: Correlation and regime detection models. Advanced trader tags and behavioral taxonomy. Candle and market structure feature sets. Real-time risk and momentum indicators. Confidence and edge scoring with rigorous schemas and validation. Onchain Perps Expertise (Non-Negotiable): You must have hands-on experience with Hyperliquid or a similar onchain perpetual exchange. Candidates without specific experience in this niche will not be considered. Data Architecture: Proven ability to build robust data pipelines and services that handle high-throughput financial data. Crypto Market Literacy: A deep understanding of onchain market structure, capital flows, and the mechanics of decentralized protocols. Engineering Excellence: Experience building production APIs with a focus on low latency, schema validation, and reliability. Autonomy: A builder’s mindset—you are comfortable working in the "early and foundational" stage where you define the path forward. Foundational Impact: Join an early-stage team where your work directly shapes the product and the future of onchain perpetual markets. Cutting-Edge Tech: Work at the forefront of the Hyperliquid ecosystem and the burgeoning autonomous agent economy. Competitive Compensation: Competitive salary and equity packages. Remote-First Culture: High-autonomy environment designed for self-driven engineers. Professional Growth: Opportunity to solve complex problems at the intersection of quantitative finance and blockchain infrastructure. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

The role involves converting raw market data and trader behavior into structured, agent-readable signals and production-grade APIs, while also designing features to optimize autonomous agents and shipping/maintaining high-availability data pipelines.