Uare.ai
Overview
Uare.ai is an AI startup building AI-driven personal digital twins to preserve, share, and interact with knowledge and stories. The company uses a proprietary Human Life Model (HLM) to structure and reason about unstructured data, leveraging third-party LLMs for conversations. The role is for a Machine Learning Engineer joining an early-stage, mission-driven team building AI-powered products for real-world human interaction. What You’ll Do
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. What We’re Looking For
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. Excited about building 0-to-1 products in a fast-moving environment. Compensation
Annual base compensation ranges from $100,000 to $150,000 USD, with equity and a comprehensive benefits package as part of the total compensation. Job Details
Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
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Uare.ai is an AI startup building AI-driven personal digital twins to preserve, share, and interact with knowledge and stories. The company uses a proprietary Human Life Model (HLM) to structure and reason about unstructured data, leveraging third-party LLMs for conversations. The role is for a Machine Learning Engineer joining an early-stage, mission-driven team building AI-powered products for real-world human interaction. What You’ll Do
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. What We’re Looking For
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. Excited about building 0-to-1 products in a fast-moving environment. Compensation
Annual base compensation ranges from $100,000 to $150,000 USD, with equity and a comprehensive benefits package as part of the total compensation. Job Details
Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
#J-18808-Ljbffr