Known
AI / ML Engineer
2mo ago
200000 –375000 USD / yearUSASeniormachine learningaidata analysisvoice processingrecommendation systems
Founding machine learning engineer role to design and build core systems intelligence for personalized AI companions and recommendation engine.
Responsibilities
- We’re looking for founding machine learning engineers to continue to design and build Known’s 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. You’ll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
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
Other
- 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 who’ve 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.
- Known
- Our Launch
- Known’s 10M Seed | TechCrunch
- “You Don’t Need to Swipe Right” - Known | NYT
- Known | FastCompany
- Website
- It’s up to you to decide what part of the ML stack you’re 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 Known’s 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.
- We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.