Melotech

• Serve as the CEO’s right hand and execute strategy across all areas of the business • Manage high-impact projects from conception to completion across all business verticals • Prepare presentations, reports, and briefing documents while tracking KPIs and compiling performance updates • Conduct market, competitor, and investor research to identify growth opportunities and support strategic decisions • Support fundraising by creating pitch materials, organizing investor outreach, and maintaining partner relations • Streamline workflows, improve operational processes, and handle recruiting at scale with the help of AI • Act as a sparring partner for the founder in prioritizing and executing strategic projects across different areas of the business.

• Owning features across our full stack, writing clean code for both frontend and backend systems • Working directly with commercial teams to architect and implement platform enhancements • Using AI coding assistants and modern development tools to accelerate workflows and maintain code quality • Building robust APIs and integrating AI models into production systems • Designing end-to-end solutions that combine individual data flows into unified models across verticals • Thinking of creative ideas and making bold decisions that shape our technology platform

• Managing high-impact projects from conception to completion across all business verticals • Preparing presentations, reports, and briefing documents while tracking KPIs and compiling performance updates • Conducting market, competitor, and investor research to identify growth opportunities and support strategic decisions • Supporting fundraising by creating pitch materials, organizing investor outreach, and maintaining partner relations • Streamlining workflows, improving operational processes, and handling recruiting at scale with the help of AI • Acting as a sparring partner for the founder in prioritizing and executing strategic projects across different areas of the business.

• Extract insights from hard-to-reach data sources to tackle cultural trends • Discover and exploit new, untapped data sources through creative scraping techniques • Build data processing pipelines from scratch to handle raw, unstructured data • Use LLMs and agentic coding tools to accelerate data cleaning and analysis workflows • Spin up EC2 instances for real-time data collection and automated scraping operations • Prototype and deploy ML models on AWS for real-time predictions and content analysis • Create custom dashboards and reports to communicate insights to leadership • Analyze trends, audience behavior, and performance metrics to guide business decisions

• 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

• Owning features across our full stack, writing clean code for both frontend and backend systems • Working directly with commercial teams to architect and implement platform enhancements • Using AI coding assistants and modern development tools to accelerate workflows and maintain code quality • Building robust APIs and integrating AI models into production systems • Designing end-to-end solutions that combine individual data flows into unified models across verticals • Thinking of creative ideas and making bold decisions that shape our technology platform

• Join us as Data Scientist Intern to bring order to the chaos of culture. • You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? • Discovering and exploiting new, untapped data sources through creative scraping techniques. • Building data processing pipelines from scratch to handle raw, unstructured data. • Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows. • Spinning up EC2 instances for real-time data collection and automated scraping operations. • Prototyping and deploying ML models on AWS for real-time predictions and content analysis. • Creating custom dashboards and reports to communicate insights to leadership. • Analyzing trends, audience behavior, and performance metrics to guide business decisions.

**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.