Key Skills

Job Description

Company Description At Keenfinity, we are a globally leading provider of innovative and professional security and communication solutions. With over 4,200 employees in over 50 countries worldwide, our ambition is clear: we offer more than just technology – we secure, connect, and amplify the moments that matter in life. Next to our passion for technology we’re very passionate about our work environment. Based on values such as trust, appreciation, and accountability we all work together to shape the future – boldly, customer-focused and with a strong team spirit. Job Description As a Research Intern, you’ll work on a cutting-edge challenge at the intersection of audio engineering and AI. Your goal is to help create an intelligent system that automatically optimizes audio performance in professional conference environments. Understand the problem space – Analyze how professional audio systems are currently configured and identify key parameters such as microphone sensitivity, equalization, echo cancellation, and feedback suppression Explore AI-driven solutions – Research and evaluate AI and signal-processing techniques for automatic audio optimization Define data strategy – Identify relevant data sources (e.g. audio signals, acoustic responses, system state, room occupancy) and design a robust data collection approach Design intelligent systems – Develop a concept for automated audio tuning, including model architecture, features, and learning approach (rule-based, ML, or hybrid) Build a Proof of Concept – Implement and prototype your solution to demonstrate autonomous audio optimization Test in real-world scenarios – Evaluate performance in representative conference conditions (empty vs. occupied rooms) Assess impact & feasibility – Analyze robustness, practical integration, and added value within a professional audio ecosystem Qualifications You have an affinity with Digital Signal Processing (DSP) or audio processing fundamentals You are familiar with AI / Machine Learning concepts (e.g. supervised learning, optimization, adaptive systems) You have experience in programming and algorithm development (e.g. Python, C/C++, or MATLAB) You enjoy system-level thinking, combining data, algorithms, sensors, and control logic You’re interested in real-world engineering challenges, ideally within audio or embedded systems You have a hands-on mindset and enjoy building and testing prototypes You can work independently, structure your work, and clearly communicate your results Additional Information 💼 What We Offer: A hands-on internship in an international team. Close guidance from experienced professionals. A dynamic role where your input and ideas are appreciated. The option to work from home one day per week. An internship allowance between €500 and €600 per month (based on full-time employment). 📝 Application Process Interested? Hit the apply button! Phone meeting with a Keenfinity campus recruiter; Interview via Microsoft Teams with team members; Contract offers from Keenfinity. 🌱 Join us at KEENFINITY! At Keenfinity we don’t just build innovative solutions — we shape a smarter, more connected world through technology. We value different backgrounds, ideas, and experiences and we’re committed to growing, learning, and celebrating success as one team. Everyone is welcome here — we foster an environment where everyone is respected, valued, and encouraged to be their authentic self. Keenfinity is an equal opportunity employer, offering equal opportunities for all. We welcome applications from people with disabilities and can offer support, if needed. When everyone has a chance to contribute, we all do better.

Core Responsibilities

You will research and develop AI-driven solutions for automatic audio optimization in professional conference environments. This involves designing data strategies, building proof-of-concept prototypes, and evaluating system performance in real-world scenarios.

Requirements

Candidates should have a strong foundation in Digital Signal Processing and Machine Learning concepts. Proficiency in programming languages such as Python, C/C++, or MATLAB is required, along with a hands-on approach to engineering challenges.

Benefits

• Internship allowance
• Work from home option
• Professional guidance