Develop and deploy ML systems for Known, focusing on compatibility scoring, recommendations, and natural language/voice interaction to enhance user experiences.
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.
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.
Other
- You’ll work closely with platform engineers to shape the data foundation and with product engineers to deliver delightful user experiences.
