Inactive
U

Uare.ai

Self-owned personal AI mirroring individuals

Machine Learning Engineer

AI Application EngineeringPosted on Mar 3
Full-timeLos Altos, CA, USAIn-person

About the Job

Requirements

  • Experience in machine learning, natural language processing, or artificial intelligence.
  • Strong experience with large language models, retrieval-augmented generation pipelines, vector databases, and prompt engineering.
  • Hands-on experience with cloud-based artificial intelligence platforms such as AWS, Azure, or GCP.

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 systems.
  • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems.
  • Help shape the future of artificial intelligence-powered human interaction products.

Desired Qualifications

  • Familiarity with voice cloning, speech synthesis, or related audio machine-learning workflows.

About the Company

Uare.ai

Self-owned personal AI mirroring individuals

Uare.ai creates personal AIs called Individual AIs or Human Life Models, which are privately owned digital counterparts trained on a person’s voice, stories, expertise, and decision patterns. The platform moves beyond a posthumous legacy use to help creators, professionals, and families scale presence, mentorship, and knowledge while staying grounded in the individual’s data. Users train the Human Life Model with text, voice, and life-context so the AI mimics how they think and speak. Applications include preserving identity for loved ones, amplifying creativity and content, scaling mentorship and customer interactions, and supporting context-aware decisions without relying on generic models. Uare.ai targets self-owned personal AI rather than generic chatbots, emphasizes data security and ownership, and aims to enable monetization and professional scaling as the platform expands.

Company size
11-50
Company stage
Seed
Total funding
$10.3M
Headquarters
Palo Alto, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Uare.ai

See more jobs