AI ML Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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.

About the roleYoull 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...