[Hiring] Senior Frontend Engineer @Pluralis Research

Pluralis Research; Deutschland; Remote; EUR 56.000 - 74.000; Vollzeit

Zusammenfassung

A tech company specializing in ML is seeking a remote Senior Frontend Engineer to create intuitive visualizations for real-time training data. The role requires strong frontend development skills, the ability to work independently, and familiarity with observability tools. Collaboration with founding scientists and creative implementation of design paradigms will be essential. Ideal candidates will demonstrate a balance of engineering talent and design acumen.

Qualifikationen

• Strong ability in frontend development with a focus on creating clear visualizations.
• Familiarity with observability and metrics tools like Prometheus and Grafana is preferred.
• Understanding of ML concepts and ability to present complex data visually.

Aufgaben

• Architect and implement high-quality frontend systems for ML training data.
• Create compelling visualizations for complex data streams.
• Contribute to design needs like presentations and technical content.

Kenntnisse

Frontend Development

Visual Design

Real-time Data Visualization

Collaboration with Engineers

Understanding of ML Concepts

Tools

Prometheus

Grafana

Jobbeschreibung

Sep 19, 2025 - Pluralis Research is hiring a remote Senior Frontend Engineer. Location: Australia.

We’re looking for a Frontend Engineer to build interfaces that make complex distributed systems intuitive, legible, and visually striking. This is a hands-on IC role requiring the overlap of design and engineering skill. It does not require deep ML expertise or distributed system experience.

Day to day, you’ll work closely with one of our Founding Scientists, who guides the top-level design of the system and report directly to the CEO. Opinionated taste and high autonomy is critical—the design space is wide open. The system we’re constructing (large-scale multi-party ML training) demands novel paradigms. Thinking from first principles about how this should be presented along with the ability to then implement it, is core to the role.

Responsibilities

• Architect and implement high-quality frontend systems, primarily visualisations and interfaces for real-time ML training data.

• Distill incredibly complex, dense data streams into clear, compelling visuals

• Contribute occasionally to lighter design needs (presentations, illustrations, technical blog content)

Preferred

• Familiarity with observability/metrics ecosystems (Prometheus, Grafana)

• Portfolio demonstrating strong design + engineering ability.

• High-level understanding of modern ML (e.g., know what a “training loss” is)

Not Preferred

• Corporate/Standard Design and UX experience. For example - if you look at Google's material design v3 and think 'damn that's nice' - that would be bad.