ML/AI Engineer Intern
Role summary
CoPatible is seeking a highly agentic ML/AI Engineer Intern to join their early-stage startup focused on building AI-native products that strengthen human connection. This unpaid, hybrid role involves working directly with the founder to design and ship core AI systems, including AI agents, LLM-based applications, voice input systems, and matching/recommendation algorithms. The intern will translate user input into structured signals, prototype coordination systems for real-world experiences, and iterate rapidly on product features. The ideal candidate has a strong interest or experience in ML/AI, AI agents, voice AI, and recommendation systems, with a product-oriented mindset and comfort working in ambiguity.
**ML / AI Engineer Intern
CoPatible
This is an unpaid role.
CoPatible is building a more human-centered future for connection.
We are sensing a major shift in how people connect. AI is rapidly becoming a companion, advisor, and intermediary in everyday life, while at the same time, loneliness is rising and meaningful human connection is declining.
We believe the next generation of technology should strengthen human connection, not replace it. CoPatible is building AI native products and real-world experiences that help people form deeper, more meaningful relationships during key life transitions.
We are looking for a highly agentic ML / AI Engineer Intern to work closely with the founder and help build the core intelligence layer of the product.
About the role
This is a hands-on role for someone who wants to build at the intersection of AI, human behavior, and consumer products. You will work directly with the founder to design and ship early AI systems that power how people are understood, matched, and brought into real-world experiences.
What you’ll work on
• Build AI agents and workflows using LLMs and modern tooling
• Develop voice-based input systems and work with voice AI agents
• Design and experiment with matching and recommendation algorithms
• Translate unstructured user input (voice/text) into structured signals
• Prototype coordination systems that help organize real-world experiences
• Rapidly build, test, and iterate on product features from 0 to 1
• Collaborate closely on product, user experience, and personalization
Who we’re looking for
• Highly agentic and self-directed builder who takes ownership
• Strong interest or experience in machine learning, AI systems, or applied ML
• Experience building AI agents, LLM-based applications, or workflows
• Familiarity with voice AI, speech-to-text, or conversational systems
• Interest in matching systems, recommendation engines, or personalization
• Strong product intuition and interest in consumer products
• Comfortable working in ambiguity and moving quickly
• Curious about human behavior, connection, and social dynamics
Preferred
• Experience with Python, TypeScript, or full-stack development
• Experience with vector databases, embeddings, or retrieval systems
• Prior projects involving AI agents, voice interfaces, or recommendation systems
What makes this a great opportunity
• Build core AI systems for an early-stage, AI native product
• Work directly with the founder on product and technical direction
• Real ownership and ability to ship meaningful features quickly
• Opportunity to grow into a larger technical role based on performance
Details
• Part-time or full-time depending on availability
• Early-stage role with potential for expanded responsibilities over time
• Based in San Francisco or open to working closely with the team
If you are excited about building AI systems that shape how people connect in the real world, we would love to hear from you.
Reach out at team@copatible.com**