About 222:

We’re an early stage startup working on building the future of social. We are not excited about a future where humans spend the majority of their day in a virtual world. By facilitating genuine human connections IRL, we're building a product that swings the pendulum in the other direction.

We’re building the world’s first IRL social prediction model - trained on hundreds of thousands of points of unique human to human interaction data.

We’re backed by a word-class set of investors including General Catalyst, Y Combinator (W23), Upfront Ventures, NEA, Jaegermeister, 1517 Fund, Cory Levy (Z Fellows), the Founder of Dropbox (Arash Ferdowsi), the Founder of On Deck (Julian Weisser) & more.

What you’ll be doing:

You will be joining 222 as the first ML-focused engineering hire - spearheading all things machine learning, data processing & pipelining, feature engineering, & data analysis.

Who you are:

You’re passionate about solving the problem 222 is tackling and excited to use classic machine learning & LLMs to predict humans social behavior
You have experience fine tuning an LLM
You have experience working with and building ETL pipelines and preparing data for experimentation
You have experience with cold start recommender models
You're comfortable building ML/data infrastructure and pipelines for experimentation, training, and deployment
You have trained applied ML models that are used in production
You have a strong stance on the ethics surrounding user psychology in social products
Regardless of personal experience, you’re excited about wearing different hats across machine learning, full-stack engineering, & architecture
Demonstrated history of building outside of work/school (projects/products, applications, music, art, etc.)

We’re looking for this type of person:

🖌️ full-stack engineer with extensive web and backend algorithms design experience
🧠 first principles thinking
🏗️ history of building things from scratch
🙇♂️ strongly opinionated about our current social fabric and its future

What we are offering:

🏦 401K matching
💸 competitive salary + equity
🎲 fully comped 222 experiences
🧑⚕️ platinum PPO, 100% covered by the company, $0 annual deductible
📈 a chance to join an early-stage startup backed by an incredible set of investors
🖥️ the opportunity to work IRL with a tight-knit team of co-workers and friend

222

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