AI / ML Engineer

About the role

You’ll develop and deploy the ML systems that make Known work – from compatibility scoring and recommendations to natural language/voice interaction. You’ll 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.