AI/ML Engineer

📋 Job Overview

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.

🏢 About Melotech

As our ML Engineer, 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.

🎯 The Role

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

✅ Key Responsibilities

• 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

📌 Required Qualifications

• 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

⭐ Desirable Experience

• Experience with multimodal AI systems
• Strong background in cloud-native ML deployment
• Track record of optimizing ML models for production environments

🎁 Benefits

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.

🛂 Visa & Eligibility

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.