Known - Founding Machine Learning Engineer

• San Francisco CA (In-Person)

• 200k-375k Cash Equity

Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection.

Users join Known by telling us their life story. On average our new users talk to our AI voice agent for 27 minutes giving us a uniquely intimate multi-modal data set.

We are a team of engineers whove created some of the most widely used AI-driven consumer products including Uber Eats Uber Faire and Afterpay.

We love to work hard with a high degree of autonomy and ownership. We work together in Cow Hollow San Francisco.

Learn more

• Known

• Our Launch

• Knowns 10M Seed TechCrunch

• You Dont Need to Swipe Right - Known NYT

• Known FastCompany

• Website

About the Role

Were looking for founding machine learning engineers to continue to design and build Knowns core systems intelligence driving our recommendation engine and agentic systems.

This is a unique opportunity to work with an ultra-personal data-set combining voice transcripts images and structured user data to create both personalized AI companions as well as predict human compatibility. Youll work directly with Chen Peng former head of ML at Uber Eats and Faire.

What youll do

Its up to you to decide what part of the ML stack youre most excited about working on.

This could be:

• Training and deploying ML models that form the core of our recommendation engine

• Designing evals to assess recommendation ability and RL systems to learn from results data

• Building personalization and long-term memory systems into Knowns conversational AI

• Using LLMs to enhance our suite of user facing AI Agents

You will own the end-to-end lifecycle of your models from ideation and training to deployment and monitoring.

Requirements

• 4-6 years experience training and deploying ML models in production leveraging PyTorch and TensorFlow

• Applying or fine-tuning LLMs to build agentic systems or complex conversational AI

• Experience with neural network models

• Experience with model deployment and basic infrastructure (e.g. Docker Kubernetes AWS/GCP)

• You want to build intelligence that could lead to a million marriages and babies

Our Investors

Were backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon Faire and Oura) NFX and PearVC.

Required Experience:

IC