Data Science Intern, Music & Audio

Melotech

WHO WE ARE Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. WHAT YOU WILL DO As our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of users while maintaining low latency? What's the optimal architecture for training and deploying models that understand cultural trends in real-time? And how do we leverage cutting-edge models to enhance creative processes while preserving quality? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include: * Building and deploying production ML models for within our content and product ecosystem * Designing scalable ML infrastructure and pipelines that handle massive media datasets * Implementing inference systems for content optimization across multiple verticals * Fine-tuning and deploying multimodal AI systems using MLOps best practices * Collaborating with data science teams to transition research models into production-ready systems * Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements * Integrating ML capabilities into existing platforms and building APIs for seamless model consumption WHO YOU ARE You're a production-focused upcoming ML engineer who bridges the gap between cutting-edge tech and scalable systems. Your expertise lies in building robust ML infrastructure that powers real-world applications at scale. You thrive in fast-paced environments where your technical decisions directly impact business outcomes and user experiences. Typically, your profile will look like this: * Pursuing a degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field * Hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms * Proficiency in Python, ML frameworks, and cloud platforms * Self-directed approach with ability to architect complex systems independently while collaborating across technical teams * You thrive in a fast-paced and performance-oriented environment * Colleagues would describe you as hard-working, ambitious and persistent * You're obsessed with music, video or social media WHAT MAKES THIS EXCITING You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. WHAT THE PROCESS WILL LOOK LIKE We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: 1. Take-home case study: Real-world project - showcase your skills and working style 2. Case interview: 90-minute case discussion - getting to know you & present and debate your results with a team member 3. Online assessment: Motivational questionnaire and aptitude test - are you made for the job? 4. Founder interview: 90-minute interview with our CEO - going deep on all topics 5. Team interview: Individual or group interview with other team members - depending on position 6. Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.

OMMAX

WEN WIR SUCHEN: * Du unterstützt unser Advanced Data Analytics Team bei Kundenprojekten, bereitest Managementmeetings und Präsentation von Resultaten vor und nimmst an diesen teil. * Du übernimmst von Beginn an Verantwortung in herausfordernden und spannenden Projekten für internationale Kunden aus verschiedensten Branchen. * Du führst komplexe Datenanalysen durch, integrierst Machine Learning- oder Optimierungsmodelle und designest überzeugende Visualisierungen (Tableau, Power BI, etc.). * Du arbeitest eng mit unseren anderen Expertenteams, u.a. Web und Marketing Analytics, Digital Strategy und Transaction Advisory zusammen. * Du arbeitest an der Entwicklung von umfassenden Data- und Analytics-Strategien für unsere Kunden mit. * Du führst eine gründliche Datenvalidierung und -bereinigung durch, um die Genauigkeit und Zuverlässigkeit der Erkenntnisse zu gewährleisten. * Du erstellst detaillierte Dokumentationen und Berichte mit PowerPoint, um die Ergebnisse und Empfehlungen an Stakeholder weiterzugeben. * Du hältst dich über die neuesten Branchentrends und Fortschritte in der Datenanalytik und KI-Technologien auf dem Laufenden. WAS DU MITBRINGST: * Du studierst derzeit Mathematik, Informatik, Data Science, BWL, E-Commerce, Statistik, Marketing oder ein verwandtes Fach mit sehr guten Noten. * Du hast erste praktische Erfahrungen mit Visualisierungs- und Dashboarding-Tools (z.B. PowerBI, Tableau, etc.). * Du verfügst über grundlegende Kenntnisse von Datenmanipulations- und Integrationswerkzeugen wie SQL, Python und APIs. * Du beherrscht statistische Analysetools und -techniken wie Regressionsanalyse, Zeitreihen usw. * Du verfügst über ausgeprägte analytische Fähigkeiten und hast ein großes Interesse an fortgeschrittener Datenanalyse und KI-Technologien. * Du achtest auf Details, um die Genauigkeit der Datenanalyse und Berichterstattung zu gewährleisten. * Du hast ein gutes Zeitmanagement und kannst Deadlines zuverlässig einhalten. * Du sprichst fließend Englisch. Deutschkenntnisse sind ein Plus. WAS DICH ERWARTET: * Dein Impact ist entscheidend: Du gestaltest in einem hochmotivierten & smarten Team in unmittelbarer Zusammenarbeit mit den Gründern & Partnern aktiv die digitale Zukunft und sorgst durch die erfolgreiche Verknüpfung von Strategie und Implementierung für echten Mehrwert. * Dein Einsatz zahlt sich aus! Du profitierst von attraktiven Gehaltspaketen, Beteiligungen am Vertriebserfolg und exklusiven Investmentmöglichkeiten. Zusätzlich fördern wir unsere Top-Talente durch das 'Digital Leaders of Tomorrow' Programm und bieten dir somit weitere spannende Vorteile. * Dein Learning – unser Anliegen: Du wirst ab Tag eins durch vielfältige Entwicklungsangebote auf deiner Journey unterstützt, übernimmst schnell Verantwortung und hast die Möglichkeit mit uns deine individuelle Karriere zu gestalten – mit uns wirst du zum Digital Leader! * Dein Arbeitsumfeld: Du tauchst ein in ein diverses und familienfreundliches Umfeld, mit ausgeprägtem Teamspirit und profitierst von einem flexiblen und hybriden Arbeitsmodell in einem unserer Büros in München, Berlin, Hamburg und London.   * Dein Blick in die Zukunft: Du arbeitest am Puls der Zeit und sammelst wertvolle Einblicke und praktische Erfahrungen mit Fokus auf digitale Geschäftsmodelle und datengetriebene Wertschöpfung in acht zukunftsweisenden Branchen.   * Deine Benefits on top: Freue dich auf regelmäßige Teamevents und gemeinsame Sportsessions, profitiere von einer attraktiven betrieblichen Altersvorsorge, einer exklusiven Wellpass-Mitgliedschaft sowie Mobilitäts- und Essenszuschüsse und vielseitigen weiteren Company Benefits.

Prior Labs

WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. CORE AREAS OF IMPACT You'll be among the first scientists collaborating and working an entirely new class of AI models, not just incremental improvements. As an early-stage startup working on foundation models for tabular data, we have countless exciting research ideas and problems to explore - you're sure to find challenges that match your interests and expertise. We are working on problems such as: * Scaling our transformer architectures from 10K to 1M+ samples while maintaining performance * Building multimodal models that combine text and tabular understanding on proprietary data * Developing specialized architectures for time series, forecasting, and anomaly detection * Creating efficient inference methods for production deployment * Researching causal understanding in foundation models * Designing novel approaches for handling multiple related tables WHAT WE'RE LOOKING FOR * Currently pursuing or holding a PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related field (we will also consider exceptional Master's students) * Deep experience with ML frameworks, especially PyTorch and scikit-learn * Strong engineering fundamentals with excellent Python expertise * Experience in data-science and working with tabular data or time series * Publications at top-tier venues (NeurIPS, ICML, ICLR) or significant open-source contributions BENEFITS * Strong mentorship and professional development opportunities * Work with state-of-the-art ML architecture, substantial compute resources, and a world-class team * Comprehensive benefits including healthcare, transportation, and fitness Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.