AI/ML engineer for content platforms

Melotech; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Melotech is reshaping media and entertainment with technology-driven art. As an ML Engineer, you will build and deploy production ML models, design scalable pipelines for massive media datasets, and implement high-availability inference systems for content optimization.

You will work across teams to turn research into production, tuning multimodal AI with MLOps best practices. You’ll be among the first team members, enjoy equity, and work remotely with global offsites for strategy and bonding.

Qualifications

• Hands-on ML engineering experience building production systems.
• Experience deploying ML models at scale in production.
• Proficiency in Python and ML frameworks, plus cloud platforms.

Responsibilities

• Build and deploy production ML models within content/product ecosystem.
• Design scalable ML infrastructure and pipelines for huge media datasets.
• Implement inference systems for content optimization across verticals.
• Fine-tune and deploy multimodal AI systems with MLOps best practices.
• Collaborate with data science to transition research models to production.
• Optimize model performance for cost, speed, and accuracy.
• Integrate ML capabilities into platforms and build model APIs.

Skills

Python

Production ML

System design

Cloud platforms

MLOps

Education

Computer Science

Tools

Docker

Kubernetes

Model versioning

Monitoring systems

Job description

Описание:

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.

Задачи:

• 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

Требования:

• 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

Условия:

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.