Location
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Known Co
About the role
Youll develop and deploy the ML systems that make Known work - from compatibility scoring and recommendations to natural language / voice interaction. Youll work closely with platform engineers to shape the data foundation and with product engineers to deliver delightful user experiences.
Responsibilities
- Design and implement profile matching algorithms (recommendations, search, personalization).
- Build ML?specific pipelines for model training, evaluation, and inference at scale.
- Research, experiment, and productionize agentic workflows to power voice agent and other similar functionalities.
- Deploy models into production and ensure monitoring, retraining, and evaluation loops.
- Partner with the product team to run offline & online experiments to improve outcomes.
Requirements
4+ years in applied ML engineering.Expertise in Python with ML frameworks (PyTorch, TensorFlow).Experience with recommendation / search / matching systems and LLM / agentic workflows.Expertise in reinforcement learning is a big plus.Familiar with model deployment, A / B testing, and monitoring in real?world systems.Example Projects
Develop an embeddings?based retrieval + re?ranking system for user compatibility.Deploy a lightweight LLM agent for intake calls / voice matching.Build an evaluation harness for offline model testing and online experimentation.#J-18808-Ljbffr