AI Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
The role is highly attractive due to its innovative focus on predicting virality in digital trends, competitive salary expectations, and the chance to work closely with entrepreneurial leadership.
- Unique role at the forefront of predicting digital virality
- Direct work with a founder who understands the creator economy
- Job security challenges common in startup environments
Pros
- Unique opportunity to work at the intersection of AI and contemporary culture
- Direct leadership from a successful founder
- Potential for significant impact on the creator economy
Cons
- Fast-paced startup environment may induce stress
- Less job security compared to established firms
- Potentially high expectations for rapid results
Who it's for
Mid-level to Senior • Remote (telecommute)
Good fit
- Innovative AI engineers focused on metrics and trends
- Professionals with a passion for the creator space
- Candidates comfortable in dynamic, high-stakes environments
Not recommended for
- Individuals preferring traditional corporate structure
- Candidates lacking social media and trend analysis experience
- Those who work best in slower-paced environments
Motivation fit
Key skills
About the job
About Vote
Vote is building the prediction network for virality.
We’re mapping how attention moves across the internet, predicting which creators, sounds, and trends will blow up next. What used to be luck is now data. What used to fade overnight is now forecastable.
We’re combining machine learning, social dynamics, and creator culture to build the world’s first system that makes virality predictable.
If you live on the edge of AI, culture, and chaos, this is where you belong.
The Role
We’re looking for an AI Engineer who doesn’t just understand machine learning, but understands people. Someone who sees TikTok as a dataset, not an app. Someone who can take millions of micro-signals; votes, engagement spikes, trends, comments, and teach machines how to predict what humans will love next.
You’ll work directly with the founder (a builder who’s gone viral all year on TikTok, 1M+ monthly views) to turn the Attention Prediction Graph (APG) and Virality Forecast Engine (VFE) from concept into code.
What You’ll Do
- Design and train models that forecast virality using engagement patterns, time-series data, and community predictions.
- Develop and iterate on the Virality Forecast Engine - our ML system that scores trends and creators before they peak.
- Architect pipelines to process social and behavioral data from Supabase/Postgres, APIs, and prediction votes.
- Collaborate with product and growth teams to translate ML outputs into live insights for dashboards and APIs.
- Explore LLM fine-tuning, clustering, and sentiment modeling to improve forecast accuracy.
- Push boundaries - research, experiment, ship, repeat.
You Might Be a Fit If
- You’ve built AI models that made something measurable, or went viral.
- You understand how trends, memes, and content spread online.
- You have experience with Python, PyTorch, TensorFlow, scikit-learn, FastAPI, and cloud infrastructure (AWS, Supabase, or GCP).
- You’ve worked with time-series or predictive modeling, especially in recommendation systems, attention modeling, or social data.
- You’re obsessed with the creator economy - maybe you have followers, maybe you’ve launched something of your own.
- You can move fast, ship independently, and think like a founder.
Why Join Vote
- You’ll help define how the world understands and predicts virality.
- Work directly with a founder who’s built and scaled products to millions of users, exited a company, and has lived the creator grind firsthand.
- You’ll be early, shaping the core tech behind something that will change how creators, brands, and algorithms interact.
- No corporate politics. Just speed, creativity, and real impact.
This is for the ones who think in algorithms, dream in trends, and build systems that can feel the pulse of the internet.
Apply or DM us directly with something that proves you get it. Send your GitHub, your side project, your viral post or your wildest idea.
