Melotech
Media • B2C
Melotech is a technology-driven media and entertainment company that creates and distributes music, films, and related digital content while building communities and partnerships across the industry. The company produces songs and playlists, elevates artists, partners with labels, acquires catalogs, builds channels and film libraries, and invests in audience and community growth; its work has been consumed for billions of minutes worldwide. Melotech focuses on blending creative production with technology to scale distribution, artist development, and audience engagement.
1 - 10 employees
📱 Media
đź‘Ą B2C
AI/ML Engineer Intern
October 22
Melotech
Media • B2C
Melotech is a technology-driven media and entertainment company that creates and distributes music, films, and related digital content while building communities and partnerships across the industry. The company produces songs and playlists, elevates artists, partners with labels, acquires catalogs, builds channels and film libraries, and invests in audience and community growth; its work has been consumed for billions of minutes worldwide. Melotech focuses on blending creative production with technology to scale distribution, artist development, and audience engagement.
1 - 10 employees
📱 Media
đź‘Ą B2C
đź“‹ Description
• 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
🎯 Requirements
• Degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field • 3+ years of hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms • Expert-level proficiency in Python, ML frameworks, and cloud platforms • Extensive experience with MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems • Proven track record deploying and scaling ML models in production environments with high availability requirements • Self-directed approach with ability to architect complex systems independently while collaborating across technical teams • Hard-working, ambitious and persistent • Obsession with music, video or social media.
🏖️ Benefits
• Competitive salaries and make you an owner of the business with equity • Complete freedom over your life while working remotely • Regular global offsites for strategizing, bonding, and pushing boundaries together
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