AI Audio Optimization Intern (Remote 1 Day/Week)

Keenfinity Group; Eindhoven; Hybrid; EUR 5,600 - 6,700; Part time

Benefits offered by this job

Internship stipend

Guidance from professionals

Hybrid work option

International team

Job summary

Keenfinity invites a Research Intern to join our international team and work on AI-driven audio optimization for professional conference environments. You will explore data-driven approaches, develop prototypes, and gain hands-on experience in cutting-edge DSP and ML techniques.

The role offers close guidance from seasoned engineers, a flexible hybrid setup with one remote day per week, and an internship allowance of €500–€600 per month based on full-time hours.

Qualifications

• Affinity with Digital Signal Processing (DSP) or audio processing fundamentals.
• Familiar with AI / Machine Learning concepts (e.g. supervised learning, optimization, adaptive systems).
• Experience in programming and algorithm development (Python, C/C++, or MATLAB).
• Enjoys system-level thinking, combining data, algorithms, sensors, and control logic.
• Interested in real-world engineering challenges, ideally within audio or embedded systems.
• Hands-on mindset and enjoys building and testing prototypes.
• Able to work independently, structure work, and clearly communicate results.

Responsibilities

• Understand the problem space by analyzing how professional audio systems are configured and identify key parameters (microphone sensitivity, EQ, echo cancellation, feedback).
• Explore AI and signal-processing techniques for automatic audio optimization.
• Define data strategy and data collection plan from audio signals and room state.
• Design an intelligent automated audio tuning concept (model architecture, features, learning approach).
• Build a proof-of-concept prototype to demonstrate autonomous audio optimization.
• Test performance in real-world conference scenarios (empty vs occupied rooms).
• Assess integration and value within a professional audio ecosystem.

Skills

DSP basics

AI/ML concepts

Programming (Python/C/C++)

System-level thinking

Real-world engineering

Hands-on mindset

Independent work

Tools

MATLAB

Python

C/C++

Job description

Keenfinity invites a Research Intern to join our international team and work on AI-driven audio optimization for professional conference environments. You will explore data-driven approaches, develop prototypes, and gain hands-on experience in cutting-edge DSP and ML techniques.

The role offers close guidance from seasoned engineers, a flexible hybrid setup with one remote day per week, and an internship allowance of €500–€600 per month based on full-time hours.