Melotech

AI/ML engineer for content platforms

In short

This role builds and deploys production ML models and scalable ML infrastructure for a media and entertainment content platform, including multimodal AI systems and inference pipelines. The company is an early-stage, fast-growing media/entertainment startup whose content has been consumed for over 4 billion minutes worldwide. It requires 3+ years of hands-on ML engineering experience at Big Tech, high-growth startups, or media platforms, expert Python and MLOps skills (Docker, Kubernetes, model versioning, monitoring), and the ability to architect complex systems independently. The role is fully remote with equity compensation and periodic global offsites.

About
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 4 billion minutes worldwide. As our ML Engineer, you'll be the technical backbone powering our content platform.
Responsibilities
•Building and deploying production ML models 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
•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
Conditions
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.

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