AI/ML Engineer (m/f/x)

Apply Here
Apply Here
A mechanic working under a raised black car in a garage, with vintage signs on the wall and another car parked nearby.

Mission: Scale Cultural Intelligence. Evolve a Powerful System into a Global Standard.

jack rabbit is The Relevance Company.
We build technology that helps brands understand and win in culture — through structured intelligence, not guesswork.

Our proprietary Culture OS is already live.
It maps cultural spaces, interprets signals, clusters communities, and helps strategists understand where relevance is emerging.

Your job is not to start from zero.
Your job is to take a strong, working system and evolve it into a robust, scalable, high‑performance intelligence engine.

If you want to work on a system that already delivers value  and turn it into something world-class,  this role is for you.

Your Mission

MISSION 01 — Strengthen the Core
Improve model performance, stability, reliability, and accuracy.
Harden the architecture so Culture OS runs fast, consistently, and at scale.

MISSION 02 — Scale the System
Optimize pipelines, build modular components, and ensure the system can handle bigger datasets, more signals, more modalities, and more clients.

MISSION 03 — Improve Cultural Intelligence Models
Refine embeddings, clustering logic, semantic layers, and community detection.
Help Culture OS read culture more precisely.

MISSION 04 — Expand Feature Depth
Extend existing features (mapping, signals, classifiers, dashboards) and develop new capabilities that unlock strategic insights.

MISSION 05 — Turn ML Into Real Product
Work closely with Strategy & Research teams to ensure the system’s intelligence is actionable, usable, and frictionless.

You turn a good system into a great one.

What You’ll Actually Do

  • Optimize and scale existing ML models behind Culture OS

  • Improve clustering, topic modeling, embeddings, and semantic search

  • Build more resilient pipelines for cultural data ingestion and transformation

  • Enhance accuracy, reduce noise, and improve interpretability

  • Implement evaluation frameworks to monitor model drift and system health

  • Extend current Culture OS features with new layers of intelligence

  • Build internal APIs and interfaces that power strategy workflows

  • Integrate new data sources (text, image, community platforms)

  • Collaborate with strategists and researchers to refine outputs

  • Ensure production-quality standards: uptime, performance, maintainability

This is a deep, applied engineering role — not academic research.

Who We’re Looking For

You are someone who enjoys making things work better, run cleaner, scale bigger, and deliver more value.

You are a fit if:

  • You have strong experience in Python + modern ML frameworks

  • You have proven ability to scale ML systems from MVP → robust product

  • You understand embeddings, clustering, LLMs, semantic models

  • You think in terms of reliability, performance, and maintainability

  • You enjoy refactoring, optimizing, stabilizing, and improving existing systems

  • You have experience with vector databases or retrieval systems

  • You can design and improve ML pipelines end-to-end

  • You bring product thinking: what do users need, how do they use it

  • You enjoy working closely with non-technical teammates

  • You thrive in fast cycles and high-ownership environments

  • experience with cultural data, social data, or community datasets

  • experience with multi-modal ML (text + image)

  • knowledge of graph databases or ontology design

  • a strong interest in culture, society, or human behavior (not required)

What We Don’t Do

  • endless planning loops

  • slow enterprise processes

  • over-engineering for no reason

  • “research that never ships”

  • technical invisibility

We build systems that generate real strategic value — fast, precise, intentional.

What You Get

  • Ownership over a core part of Culture OS

  • The chance to evolve a system that already works into something truly industry-defining

  • Collaboration with strategists, cultural researchers, and builders

  • Flexible work (remote, Munich, Hamburg)

  • Access to unique cultural datasets and internal labs

  • Fast iteration culture, high trust, strong autonomy

  • Fair, transparent compensation

  • The opportunity to leave a real mark on a system used by global brands

You will help create the intelligence layer behind the next era of cultural strategy.

How to Apply

Send us:

  • A short intro about you

  • Two ML projects you’ve built or scaled

  • A few thoughts on how you would improve or scale a cultural intelligence system

  • GitHub, portfolio, or examples of real-world ML systems you’ve worked on

No standard cover letter needed.
We care about how you think and how you build.

Apply Here
Apply Here