Applied AI Scientist

Location: Atlanta, GA

Visa Sponsorship: Available

[Must-Have] Language: Fluency in Mandarin Chinese is required.

Company Description

Styon is an early-stage startup building an AI-powered personal styling app for the U.S. market. Combining a digital wardrobe with an AI stylist, we help people discover their style, make the most of what they own, and shop thoughtfully. Join us to help shape a consumer AI product ahead of launch.

About the Role

We are seeking a hands-on Applied AI Scientist with strong machine learning foundations and a proven ability to turn advanced AI techniques into practical, production-ready applications. You will work closely with product and engineering teams in the U.S. and China to develop and deploy solutions across computer vision, multimodal AI, recommendation systems, and LLM-powered applications.

This role requires end-to-end ownership, from problem definition and technical design to implementation, evaluation, and deployment, as well as the ability to collaborate effectively with China-based engineers in Mandarin.

Responsibilities

• Develop and deploy AI solutions in computer vision, multimodal learning, recommendation systems, and LLM-powered applications.
• Own projects end to end, including data preparation, model development, experimentation, evaluation, and deployment.
• Build AI agents using language models, tool calling, APIs, and automated workflows.
• Use AI-assisted coding tools to accelerate development while maintaining code quality, testing, and reliability.
• Evaluate emerging technologies and optimize applications for quality, latency, scalability, and cost.
• Collaborate with product and engineering teams to translate business requirements into effective technical solutions.

Required Qualifications

• PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field.
• Fluency in spoken Mandarin Chinese for technical discussions and daily collaboration with engineering teams in China.
• Strong machine learning and deep learning foundations, with expertise in computer vision, LLMs and multimodal AI, or recommendation systems.
• Demonstrated ability to independently deliver technical projects, with clear ownership of implementation and outcomes.
• Hands-on experience with AI-assisted coding tools and AI agent development, including tool integration, workflow orchestration, and evaluation.
• Proficiency in Python and PyTorch or a comparable framework, with familiarity with Git, APIs, testing, and deployment.
• Strong problem-solving skills, sound technical judgment, and the ability to learn quickly and execute independently.

Preferred Qualifications

• Doctoral training at a leading university or research institution.
• Experience with virtual try-on (VTO), image generation, model fine-tuning, or retrieval-augmented generation (RAG).
• Experience deploying and maintaining AI applications or models in production.
• Strong independent projects, open-source contributions, or relevant publications.