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.