Applied AI Research Scientist 100%

Taskbase AG; Zürich; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

A leading Ed-Tech startup in Zürich is looking for an AI Product Research Scientist to enhance AI-driven feedback systems. This role requires a strong background in Machine Learning and the ability to work autonomously while collaborating with product and engineering teams. Join us to shape the future of AI in education and make a meaningful impact in a fast-growing company.

Leistungen

Competitive salary and equity

5 weeks holidays

Bring your own devices flat-rate

Flexible working hours

Culture of trust and personal development

Qualifikationen

• 3+ years of hands-on research experience in AI or Machine Learning.
• Deep understanding of LLMs and practical skills in Python for research.
• Ability to collaborate and communicate across teams.

Aufgaben

• Lead research to improve AI-powered assessment and feedback systems.
• Collaborate on aligning technical innovation with customer value.
• Design and implement rapid prototypes to validate ideas.

Kenntnisse

Machine Learning

AI

Rapid Prototyping

Python

Communication

Ausbildung

MSc/PhD in Machine Learning/AI or related field

Jobbeschreibung

Shape the Future of Learning with AI
At Taskbase, we believe every student deserves personalized, real-time feedback to thrive. As a fast-growing ETH spin-off based in Zürich, we’re transforming digital education through cutting-edge AI—and we want you to be part of it.

We work with leading publishers and ed-tech platforms to deliver intelligent, scalable B2B SaaS solutions that improve engagement and outcomes for millions of learners.

We’re looking for an AI Product Research Scientist to help us explore and prototype groundbreaking AI-driven feedback systems—and ultimately make education more adaptive, accessible, and effective.

Taskbase is an ETH spin-off based in Zürich that's transforming how educational technology works. We help publishers and educational institutions integrate powerful AI capabilities—like intelligent tutoring, automated assessment, and personalized feedback—into their existing platforms.

As a fast-growing B2B SaaS company, we've created a platform that makes sophisticated educational AI accessible and reliable. Our partners can deploy AI-powered learning features in weeks instead of years, backed by our expertise in both cutting-edge AI and educational best practices.

We're looking for an AI Product Research Specialist to join our team and help push the boundaries of what's possible when AI meets education.

Tasks

• Lead research to improve our AI-powered assessment and feedback systems
• Collaborate on AI product discovery by aligning technical innovation with customer value
• Design and implement rapid prototypes to validate new ideas in educational AI
• Define evaluation frameworks and benchmarks to measure model quality
• Work closely with the product and engineering teams to translate research insights into implementable solutions
• Help shape our AI strategy and research roadmap, initiatives, including external collaborations

Requirements

• Solid background in Machine Learning/AI or a related field (MSc/PhD or equivalent) with 3+ years of hands-on research experience
• Skilled in rapid prototyping and turning research into real-world applications
• Deep understanding of LLMs, prompt engineering, and model evaluation
• Proficiency in Python for research, experimentation, and rapid iteration
• Strong communication skills in English, with the ability to collaborate effectively across technical and product teams; German skills are a big plus

Benefits

• Work in a fast-growing international Ed-Tech startup with flat hierarchies and the opportunity to make a difference.
• Competitive salary and equity.
• 5 weeks holidays
• Bring your own devices flat-rate.
• Flexible working hours and option to work partially from home.
• Enjoy a culture of trust and flexibility with great personal development potential.

You'll be joining our AI research team, collaborating directly with our head of product to shape the future of AI in education. While engineering handles implementation, you'll have significant autonomy in research direction and access to substantial compute resources for experimentation.