Machine Learning Scientist (LLM & Agents)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Scientist (LLM & Agents): Developing and productionizing enterprise AI agents for marketing, strategy, and sales with an accent on LLM application development and omnichannel data integration. Focus on building autonomous agents, implementing function calling and AI protocols, and optimizing model performance in production.
Location: Taipei, Taiwan
Company
is an AI-native Agentic AI as a Service (AaaS) company empowering businesses through cutting-edge AdTech and MarTech solutions.
What you will do
- Design and develop enterprise AI agents focusing on marketing conversion, revenue-driving strategies, and AI-powered customer support.
- Translate complex product requirements into well-defined machine learning problems.
- Collaborate with ML engineers to deploy models into production environments.
- Conduct offline and online evaluation, monitoring, and continuous optimization post-deployment.
- Propose innovative AI applications by staying current with the latest research.
Requirements
- Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields
- Experience in machine learning, LLM, or software engineering via research, internships, or industry work.
- Strong interest or experience in agentic application development, including function calling, AI Protocols (MCP/A2A), and workflow orchestration.
- Familiarity with AI-powered development tools such as Claude Code, Cursor, Windsurf, or GitHub Copilot.
- Impact-driven mindset with strong analytical and problem-solving skills.
Nice to have
- Experience in MarTech and building customer-centric products.
- Strong focus on quantitative metrics and systematic evaluation.
- Knowledge of context engineering, harness engineering, and human-in-the-loop workflows.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →