7 months ago
Base Salary
$200k - $375k/yr
Responsibilities
- Train and deploy machine learning models for Known’s recommendation engine.
- Design evaluations for recommendation capabilities and reinforcement learning systems that learn from results data.
- Build personalization and long-term memory systems for Known’s conversational AI.
- Use large language models to enhance user-facing AI agents.
- Own the end-to-end model lifecycle from ideation and training through deployment and monitoring.
Requirements
- 4-6 years of experience training and deploying machine learning models in production.
- Experience leveraging PyTorch and TensorFlow.
- Experience applying or fine-tuning large language models for agentic systems or complex conversational AI.
- Experience with neural network models.
- Experience with model deployment and basic infrastructure such as Docker, Kubernetes, AWS, or GCP.
Benefits
- $200k-$375k cash plus equity.
- In-person work in Cow Hollow, San Francisco.
- High autonomy and ownership, with direct collaboration with the company’s ML leadership.