Working Student - AI Research Assistant (f/m/d)

Incari is an international technology and software company revolutionizing the human-machine interface (HMI) landscape. Through our state-of-the-art technologies, we enable various industries, such as mobility, to turn HMI systems from concept into reality. The platform simplifies the process of HMI development, enabling designers and engineers to collaborate and build HMIs quickly, efficiently, and cost-effectively. Our commitment to a 3D-first approach and low-code makes tech development more accessible than ever before. With our AI solutions, we are working to bridge the gap between stochastic evaluation and discrete computation.

We are seeking a detail-oriented, proactive, dedicated and enthusiastic working student – AI Research Assistant to join our research team for 20 hours a week. The primary focus will be on identifying and preventing text-generated hallucinations from LLMs. This is a unique opportunity to delve deep into the world of AI and contribute to meaningful research that has a broad impact.

Requirements

• Currently enrolled in your final year of a Bachelor's or Master's program related to Computer Science, AI, Machine Learning, or a related field
• Strong coding skills in Python
• Familiarity with LLMs and their underlying architectures.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a team.

What you will need to do:

• Conduct comprehensive literature reviews on the current state of LLMs, their limitations, and potential solutions to text hallucinations.
• Design and implement experiments to test various hypotheses related to LLM hallucinations.
• Code and develop tools, scripts, or models in Python to aid in the research process.
• Collaborate with our team of experts to analyse results and refine research directions.
• Document findings and contribute to research publications or internal reports.

Benefits

• Competitive salary
• 30 days annual leave (for full time employees)
• Agile start-up mentality in an established company
• Being part of a diverse and multicultural team
• Flat hierarchies, team spirit, and out-of-the-box thinking
• Hybrid work environment with some flexibility for remote work (3 times a week)
• Opportunity to work alongside industry experts
• Access to cutting-edge technology and resources