Founding AI Engineer

Vote is developing a novel system to detect early momentum and emerging trends across various internet domains. They believe the most valuable signal on the internet is early belief under uncertainty, not just opinions or engagement. The company combines multimodal content signals, temporal attention dynamics, user reputation, network propagation, and on-chain incentives to create a continuously updating attention graph. They are modeling emergence, attention formation, cultural phase transitions, and human intuition under uncertainty.

Introduction

Vote is building the internet's attention signal layer, a system designed to detect early momentum across content, narratives, creators, and markets before consensus forms. This role offers a unique opportunity to shape the core architecture of a system that understands the internet before it happens, sitting at the intersection of AI, consumer social, prediction markets, on-chain data, gaming mechanics, and cultural trend formation.

Responsibilities

As a Founding AI Engineer, you will help design the core system and work on:

• Multimodal representation pipelines (text, audio, visual embeddings).
• Ranking and scoring systems for early signal detection.
• Temporal modeling of attention and velocity shifts.
• Reputation-weighted systems and calibration layers.
• Ensemble-style architectures across human + machine signals.
• Noisy, incomplete, real-world data systems.
• Overlap with on-chain data systems, token-incentivized networks, and market design/information aggregation.

Requirements

We are looking for someone who:

• Thinks most ML systems are too constrained or obvious.
• Enjoys working with messy, ambiguous problems.
• Cares about systems, not just models.
• Has built things from scratch before.
• Understands tradeoffs between theory and reality.

You might have experience in:

• Recommendation systems
• Ranking / retrieval
• Multimodal ML
• Time-series systems
• Market-based systems
• Distributed systems
• Or possess a similar problem-solving mindset.

Nice to Have

• Experience with Python and modern ML frameworks.
• Familiarity with vector / embedding systems.
• Knowledge of real-time data pipelines.
• Understanding of on-chain components.

Benefits

• Direct ownership of core systems.
• A true founding role.
• Exposure to both consumer scale and data infrastructure.
• The chance to work on something that doesn’t already exist, aiming to create a new primitive.

About Company

Vote is developing a novel system to detect early momentum and emerging trends across various internet domains. They believe the most valuable signal on the internet is early belief under uncertainty, not just opinions or engagement. The company combines multimodal content signals, temporal attention dynamics, user reputation, network propagation, and on-chain incentives to create a continuously updating attention graph. They are modeling emergence, attention formation, cultural phase transitions, and human intuition under uncertainty.

How to Apply

We care about:

• How you think.
• What you’ve built.
• How you approach undefined problems.

We do not care about:

• Perfect resumes.
• Checklist experience.
• Over-optimized academic paths.

Start Date: June (flexible)