14 дней назад
Staff Data Scientist (Catalog, AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (Catalog, AI): Designing scalable catalog systems that enrich product information, images, videos, reviews, and customer service data with an accent on agentic workflows, multimodal LLMs, and production machine learning. Focus on developing cost-effective solutions for tens of millions of listings, evaluating model quality, and translating ambiguous business requirements into measurable outcomes.
Location: Taipei, Taiwan
Company
develops e-commerce services, including Rocket Delivery and Rocket Oversea, and is expanding its shopping platform in Taiwan.
What you will do
- Design scalable catalog systems for data extraction, query-based enrichment, product highlights, and defect reduction.
- Build agentic and automated workflows that improve the quality, completeness, readability, and accessibility of tens of millions of listings.
- Set the technical direction for scalable and cost-effective models and production systems.
- Research and analyze data using multimodal LLMs, classical statistics, and machine learning.
- Collaborate with product, engineering, operations, and business stakeholders to turn ambiguous requirements into practical solutions.
- Measure the real-world impact of launched solutions and lead thinking on AI evaluation and inconsistent or dirty labels.
Requirements
- Bachelor's or master's degree in mathematics, statistics, computer science, engineering, or another quantitative discipline.
- 8+ years of relevant industry or academic experience.
- Hands-on expertise in statistics and machine learning applied to production systems.
- Ability to independently manipulate data, formulate hypotheses, design experiments, and conduct statistical analysis.
- Strong critical thinking, problem-solving, and written and verbal communication skills.
- Ability to work effectively with technical and business stakeholders.
Nice to have
- Production experience with LLMs and agentic systems.
- Experience designing scalable pipelines, LLM-embedded workflows, human-in-the-loop workflows, and hybrid agentic pipelines.
- Advanced proficiency with Python, TensorFlow, PyTorch, and LLMs.
- Deep understanding of e-commerce and experience taking advanced models into production.
Culture & Benefits
- Interdisciplinary work across product, operations, engineering, and business.
- Opportunity to influence catalog technology strategy and 's expansion in Taiwan.
- Equal employment opportunities are provided to all applicants.
Hiring process
- Application review followed by a phone interview.
- Onsite or virtual onsite interview.
- Offer decision, with schedules and results communicated by email.
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 →
Похожие вакансии
5 дней назад
Research Scientist (Generative & Agentic AI)
3 дня назад
Senior Forward Deployed AI Engineer (AI)
4 дня назад
[Agentic AI] AI Systems & Edge Runtime Software Engineering
7 дней назад
AI Enablement Engineer
8 дней назад
TTS Research Engineer
Binance
7 дней назад