Senior Research Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Research Scientist (Generative AI): Solving real business problems using Generative AI with an accent on applied research methodology, experimentation design, and evaluation. Focus on building scalable GenAI solutions, leveraging LLMs, RAG systems, and vector databases to drive consumer intelligence insights.
Location: Valladolid, Spain
Salary: €55,300 – €70,000 yearly
Company
is a global consumer intelligence company providing a complete understanding of consumer buying behavior through advanced analytics and platforms.
What you will do
- Collaborate with product, engineering, and business stakeholders to identify and solve complex business problems.
- Design and execute controlled experiments to validate GenAI-based solutions.
- Develop and evaluate LLM-based systems, including prompting and RAG architectures.
- Build fast, clean prototypes using Python to test research hypotheses.
- Recommend practical, scalable approaches based on rigorous error analysis and metrics.
- Communicate scientific results, trade-offs, and limitations to non-technical stakeholders.
Requirements
- 6+ years of experience in applied ML/AI roles.
- Strong ML fundamentals in experimentation design, evaluation, and error analysis.
- Proven expertise in applied research methodology and hypothesis-driven work.
- Strong Python coding skills for prototyping.
- Hands-on experience with Generative AI, LLMs, semantic search, and vector databases.
- Ability to translate business problems into technical GenAI solutions.
Culture & Benefits
- Flexible working environment.
- Access to LinkedIn Learning for professional development.
- Employee Assistance Program (EAP).
- Volunteer time off opportunities.
- Commitment to diversity, equity, and inclusion in the workplace.
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 →