24 часа назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (AI/LLMs): Building AI-powered products, models, data pipelines, and agentic workflows for a math education platform with an accent on rapid prototyping, production deployment, and measurable classroom impact. Focus on deploying and monitoring models, improving quality and reliability, and turning research into product improvements used by students every day.
Location: Stockholm, Sweden; 5 days in the office
Company
is an edtech company using AI to transform math education by converting handwritten solutions into digital insights for teachers and students.
What you will do
- Work with large datasets to build models, data pipelines, and AI-powered systems.
- Build AI agents and agentic workflows using multiple LLM providers.
- Prototype quickly and iterate using classroom feedback and measurable impact.
- Deploy, monitor, and continuously improve models in production for quality, speed, and reliability.
- Collaborate with product and engineering to define and deliver AI improvements for education.
- Use AI to scale the product and business while taking ownership of projects from research through production.
Requirements
- Strong coding and technical skills enabling hands-on product development.
- Hands-on experience using AI tools for development, including vibe coding.
- Strong interest in AI and willingness to experiment with the latest releases.
- Ability to drive projects to completion in a fast-paced startup environment.
- Strong communication skills.
- Fluent English required.
Culture & Benefits
- Opportunity to contribute to a meaningful mission improving math education globally.
- Competitive salary and benefits.
- Learning and professional development opportunities.
- Travel opportunities to meet users and colleagues around the world.
- Close collaboration in a young, ambitious, and rapidly growing company.
Hiring process
- Call with the Hiring Manager.
- First interview with the Hiring Manager and a People team member.
- Second interview with the Hiring Manager and a Magma team member, followed by a third interview with the CPO and a Magma team member.
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