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Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied Scientist (AI): Developing and launching large-scale machine-learning solutions for personalized content recommendations with an accent on recommender systems, deep learning, and large language models. Focus on inventing and evaluating analytical techniques, designing new AI technologies, and translating research into customer-facing products and systems.
Location: Tel Aviv, Israel
Company
develops large-scale personalization solutions using machine learning, big data, distributed systems, and user experience design to improve shopping experiences.
What you will do
- Lead research, design, and development of AI technologies for personalization.
- Invent, adopt, and evaluate machine-learning and analytical techniques for recommendations and large language models.
- Build and launch large-scale systems that deliver personalized content recommendations and explanations.
- Experiment with and launch new features, products, and machine-learning systems.
- Collaborate with scientists, engineers, and product partners locally and internationally.
Requirements
- PhD in computer science, electrical engineering, or a related field.
- 5+ years of applied research experience after completing a PhD, including building and launching deep-learning or machine-learning models for business applications.
- Strong foundations in computer science, including data structures and algorithms.
- Excellent coding and system-design skills with proficiency in Java or Python.
- Several publications in top-tier peer-reviewed research conferences or journals.
- Strong communication and collaboration skills.
Nice to have
- Experience with information retrieval, recommender systems, or personalization algorithms.
- Publications at leading recommender systems, machine-learning, or natural-language-processing conferences.
- Experience defining research and development practices in an applied science environment.
- Service as a program committee member for top-tier conferences.
Culture & Benefits
- Access to large datasets and substantial computational resources.
- Work within a high-performing personalization organization.
- Inclusive culture with workplace accommodations available during hiring and onboarding.
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