On a mission to revolutionize media and entertainment.
AI/ML Engineer Intern
Location
Germany
Posted
68 days ago
Salary
0
Seniority
Entry Level
Job Description
AI/ML Engineer Intern
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: - **Take-home case study**: Real-world project - showcase your skills and working style - **Case interview**: 90-minute case discussion - getting to know you & present and debate your results with a team member - **Online assessment**: Motivational questionnaire and aptitude test - are you made for the job? - **Founder interview**: 90-minute interview with our CEO - going deep on all topics - **Team interview**: Individual or group interview with other team members - depending on position - **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.
Job Requirements
- 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
- Fast-paced and performance-oriented work ethic
- Obsessed with music, video or social media
Benefits
- Competitive salary
- Equity opportunities
- Remote work flexibility
- Global team events
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
• Join a high-impact, collaborative team of Machine Learning and Backend Engineers dedicated to operational excellence • Architect the intelligence that transforms how billions of media items are understood and surfaced • Lead strategic decisions on model architecture and LLM orchestration • Tackle subjective challenges—like visual style, aesthetics, and semantic understanding—that require nuanced modelling and rigorous iteration
Machine Learning Engineer I
PayscaleThe source for the world's largest sustained salary survey, Payscale is a privately-held Warburg Pincus portfolio company that provides compensation analyses and data for employers
• Partner with Data Science to package models for deployment and integrate them into our products and internal services. • Implement and improve ML deployment and inference workflows (batch and/or real-time), including automation and CI/CD patterns with guidance from senior engineers. • Build and maintain API endpoints or services that expose model predictions, including input validation, error handling, and documentation. • Write tests (unit/performance/integration) to validate model behavior and service reliability; help create repeatable validation checks and release processes. • Instrument services with logging/metrics and help monitor production behavior; participate in incident triage and troubleshooting with support from the team. • Contribute to performance and cost improvements through profiling and practical techniques like batching, basic caching, and efficiency-minded design. • Stay current on relevant AI/ML engineering best practices and share learnings with the team.
AI/ML Engineer
OBRIOOBRIO is the fast-growing product company inside Genesis business ecosystem with 500% YoY growth.
• Побудувати внутрішні AI-рішення з нуля . • Перетворювати бізнес-запити команд у ефективні LLM-архітектури (RAG, embeddings, vector search). • Закласти фундамент AI-інфраструктури, яка зростатиме разом із бізнесом. • Скороченні часу команд на рутинні задачі завдяки AI-автоматизації процесів. • Формуванні AI як реального бізнес-інструменту, а не експерименту. • Створенні довгострокової цінності — AI-систем, які напряму впливають на ефективність компанії. • Підвищенні швидкості прийняття рішень через кращий доступ до даних і знань.
Senior Machine Learning Engineer I
Dandy Dental LabDandy oversees a platform created to help modernize the dental lab process. The company’s platform is designed to make the entire process digital from start t
Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. About the Role In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we go through our next level of scale, Dandy is building a world class Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today. The global, remote team tackles problems involving 3D geometric computer vision, generative deep learning, and SOTA machine learning methods. As a part of this newly created team, you will play a key role in laying the foundation that will drive the team’s success. You will establish best practices, solve ambiguous data problems that have never been solved before with industry wide impact, and be given the freedom to innovate. What You'll Do - Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry - Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks. - Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines - Work with massive datasets to develop both generic models as well as fine tune models for specific applications - Develop evaluation methods which allow us to establish confidence in our datasets and models - Implement best practices for our MLOps pipelines - Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers What We're Looking For - Machine Learning experience: 5+ years experience post Master's degree, 3+ years of experience post PhD - Extensive experience in Python - Extensive experience with either PyTorch or Tensorflow - Have immaculate attention to detail and take pride in delivering excellent code and results - Master's degree or PhD in Computer Science, Computer Engineering, or related fields - Experience in SOTA 2D deep learning and/or experience with 3D deep learning is a plus - Experience with 3D geometric Computer Vision is a plus Req ID: J-683 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more! Data Privacy Notice: By submitting your application, you consent to Dandy collecting, storing, and processing your personal information for recruitment purposes in accordance with our Privacy Policy and GDPR regulations. You have the right to access, rectify, or request the deletion of your data at any time by contacting Privacy Requests.




