Uare.ai is building AI-driven personal digital twins to preserve, share, and interact with knowledge and stories, leveraging a proprietary Human Life Model (HLM) and third-party LLMs for conversations. The Machine Learning Engineer will help build AI-powered products for real-world human interaction.
Requirements
- Experience in machine learning, NLP, or AI.
- Strong experience with LLMs, RAG pipelines, vector databases, and prompt engineering.
- Hands-on experience with cloud-based AI platforms (AWS, Azure, or GCP).
- Familiarity with voice cloning, speech synthesis, or related audio ML workflows is a plus.
Responsibilities
- Design and implement machine learning workflows that combine structured and unstructured data.
- Work with state-of-the-art language models and voice technologies.
- Build and optimize retrieval-augmented generation (RAG) systems.
- Collaborate with product and engineering teams to turn early prototypes into production-grade systems.
- Help shape the future of AI-powered human interaction products.
Other
- Excited about building 0-to-1 products in a fast-moving environment.
