Uare.ai is looking to solve the problem of empowering people to do more with their memories by creating AI-driven personal digital twins, enabling users to preserve, share, and interact with their knowledge and stories in groundbreaking ways.
Requirements
- 4+ years of 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 closely with product and engineering teams to turn early prototypes into production-grade systems.
- Help shape the future of AI-powered human interaction products.
Other
- 4+ years of experience
- Excited about building 0-to-1 products in a fast-moving environment.
- Comprehensive benefits package
- Equity
