Known
AI / ML Engineer
San Francisco, CA
Sponsorship not specified$200k-$375kDetected 88 days ago
AWSGCPDockerKubernetesMachine LearningTensorFlowPyTorchLLMsAgentic AI
About the role
- You'll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
Responsibilities
- Building personalization and long-term memory systems into Known's conversational AI
- 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
- Experience with neural network models
- Experience with model deployment and basic infrastructure (e.g., Docker, Kubernetes, AWS/GCP)
Compensation
- $200k-$375k
Benefits
- 200k-375k Cash + Equity
- 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.
Company info
- It's up to you to decide what part of the ML stack you're most excited about working on.
This listing is sourced directly from Known's careers page and normalized into a canonical job model.