обновлено 2 месяца назад
Applied Scientist, Personalization, Personalization (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Scientist, Personalization, Personalization (AI): Building customer memory and personalization systems that extract, validate, and reason over customer knowledge to improve shopping experiences with an accent on machine learning, LLM reasoning, and recommendation systems. Focus on designing end-to-end ML solutions, balancing precision, recall, latency, and coverage, and deploying scalable models through offline and online experimentation.
Location: Haifa, Israel
Company
develops large-scale customer-facing technology and personalization systems through its Development Center in Tel Aviv.
What you will do
- Build ML- and LLM-powered customer memory and personalization systems.
- Extract, curate, validate, and apply customer knowledge in production systems.
- Own end-to-end ML solution delivery, from problem formulation and modeling through experimentation and deployment.
- Develop capabilities for fact extraction, memory quality and lifecycle management, temporal reasoning, and grounded personalization.
- Balance precision, recall, latency, quality, and coverage at scale.
- Collaborate with engineering and product teams to translate research into measurable customer impact.
Requirements
- Knowledge of C/C++, Python, Java, or Perl.
- PhD, or a Master's degree with research experience, in computer science, computer engineering, machine learning, or a related field.
- Experience with patents or publications in top-tier peer-reviewed conferences or journals.
- Strong communication and collaboration skills.
- Experience building and launching machine learning or deep learning models for business applications.
- Knowledge of big data and cloud technologies such as Spark and AWS.
Nice to have
- Experience with information retrieval, recommender systems, natural language processing, or personalization algorithms.
- Publications at leading Web, machine learning, or natural language processing conferences such as KDD, ICML, NeurIPS, ACL, or EMNLP.
Culture & Benefits
- Work within 's Personalization organization on large-scale machine learning, generative AI, and distributed systems.
- Inclusive culture with workplace accommodations available during the application and hiring process.
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 →