2 months ago
Base Salary
$200k - $375k/yr
Responsibilities
- Train and deploy ML models for the recommendation engine.
- Design evaluations to assess recommendation abilities and reinforcement learning systems.
- Build personalization and long-term memory systems into the conversational AI.
- Enhance user-facing AI agents using large language models (LLMs).
- Own the end-to-end lifecycle of ML models from ideation to monitoring.
Requirements
- 4-6 years of experience in training and deploying ML models in production using PyTorch and TensorFlow.
- Experience applying or fine-tuning LLMs for agentic systems or complex conversational AI.
- Familiarity with neural network models.
- Experience with model deployment and infrastructure tools like Docker, Kubernetes, and AWS/GCP.
- A passion for building intelligence that fosters meaningful human connections.
Tech Stack
Categories
AI & MLData Science