Research Engineer (Early-Career) - Remote

Overview

We’re looking for an early-career engineer to work directly with Pluralis Research Scientists and Machine Learning Engineers on core systems work. This is a hands-on IC role, ideal as a first or second job out of university. We will invest heavily in developing this person—the focus is on raw potential and initiative, not prior experience.

In Short

• Support and scale infrastructure for large ML training and research
• Build tools and automations to reduce operational load on scientists
• Take on varied engineering tasks across the stack as needed
• Learn quickly, ship frequently, and grow into a core engineering contributor

Requirements

• Strong CS/math/EE fundamentals (e.g. first-class honours or equivalent)
• Evidence of initiative: personal ML projects, hobbyist experiments, public repos, or other non-traditional work artifacts
• High energy, self-directed, with strong learning velocity

Preferred

• University Medal or equivalent academic achievement
• Experience or internships at high-performance environments (quant firms, top-tier tech)
• Active presence in ML communities (Discord, X, open-source, etc.)
• Demonstrated ability to take projects from idea to working artifact independently