Machine Learning Intern

<p><span><strong>Multiverse Computing </strong>is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.</span></p><div><p><span>Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</span></p><p><span><strong>Why join us? </strong><br>We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”</span><br><br><strong>As a Machine Learning (LLM) Intern, you will:</strong></p></div><ul><li><p>Join a world-class team of AI and Quantum experts with an extensive track record in both academia and industry.</p></li></ul><ul><li><p>Work with real world-wide customers across several industries.</p></li></ul><ul><li><p>Collaborate closely with the founding team in a fast-paced startup environment.</p></li></ul><ul><li><p>Contribute to the design and development of novel machine learning models based on quantum and quantum-inspired technologies to solve challenging use cases in various domains.</p></li></ul><ul><li><p>Implement prototypes based on these technologies and prepare and run experiments to test performance.</p></li></ul><ul><li><p>Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, fine-tuning and optimizing models for enhanced accuracy, robustness, and efficiency.</p></li></ul><ul><li><p>Evaluate the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.</p></li></ul><p><strong>Required Qualifications</strong></p><ul><li><p>Bachelors, Master in Artificial Intelligence, Computer Science, Data Science, or related fields.</p></li></ul><ul><li><p>Experience in machine learning and specifically in LLM/NLP, with a solid understanding of fundamental concepts.</p></li></ul><ul><li><p>At least one personal project working with Large Language Models.</p></li></ul><ul><li><p>Excellent programming skills in Python and experience with relevant libraries (TensorFlow, scikit-learn, Pandas, etc.).</p></li></ul><ul><li><p>Familiarity with cloud platforms (ideally AWS) and containerization technologies (Docker).</p></li></ul><ul><li><p>Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively.</p></li></ul><p><strong><br>Preferred Qualifications</strong></p><ul><li><p>Proven experience building successful AI-driven projects in an industrial or research environment.</p></li></ul><ul><li><p>Experience in data engineering and handling large datasets and ensuring data quality.</p></li></ul><ul><li><p>Personal projects in ML will be valued.</p></li></ul><p><strong>Perks & Benefits</strong></p><ul><li><p>6-month internship contract.</p></li></ul><ul><li><p>Equal pay guaranteed.</p></li></ul><ul><li><p>Relocation package (if applicable).</p></li></ul><ul><li><p>Hybrid opportunity.</p></li></ul><ul><li><p>Flexible working hours.</p></li></ul><ul><li><p>Eligibility for educational budget according to internal policy.</p></li></ul><ul><li><p>Flexible retribution with Cobee.</p></li></ul><ul><li><p>Language classes and discounted lunch options.</p></li></ul><ul><li><p>Working in a high paced environment, working on cutting edge technologies.</p></li></ul><ul><li><p>Career plan. Opportunity to learn and teach.</p></li></ul><ul><li><p>Progressive Company. Happy people culture.</p></li></ul><p></p><p>As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.</p><p></p>