Remote ML Engineer: Content Platform, Equity & Impact

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

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.