Remote ML Engineer Intern: Scale Real-Time AI for Content

Feedinkoo; United States; Remote; USD 40,000 - 70,000; Part time

Benefits offered by this job

Salary + equity

Remote work with offsites

Job summary

Feedinkoo is seeking an ML Engineer Intern to serve as a technical backbone for our content platform, tackling scalable ML systems and low latency challenges while leveraging cutting-edge models. You’ll work autonomously with our founder and team on production ML models, scalable pipelines, multimodal inference, and API integration.

You will gain hands-on experience in real-time cultural trend understanding, deployment, monitoring, and cross-team collaboration in a fast-paced environment.

Qualifications

• Production ML engineering experience building production systems.
• 3+ years hands-on ML engineering experience.
• Expert-level proficiency in Python, ML frameworks, and cloud platforms.
• Extensive experience with MLOps tools including Docker, Kubernetes, model versioning, and monitoring.
• Proven track record deploying and scaling ML models in production environments with high availability.
• Self-directed approach with ability to architect complex systems independently while collaborating across teams.

Responsibilities

• Build production ML models powering the content platform.
• Design scalable ML infrastructure and data pipelines.
• Implement inference systems for multiple verticals.
• Fine-tune and deploy multimodal AI systems using MLOps practices.
• Collaborate with data science teams to productionize research models.
• Optimize model performance for cost and latency.

Skills

Production ML engineering

Python

ML frameworks (TensorFlow/PyTorch)

Cloud platforms (AWS/GCP/Azure)

System design for scalable ML

Self-directed / independent architect

Team collaboration

Fast-paced environment

Education

Bachelor's degree in Computer Science, ML, Mathematics, Engineering, or related field

Tools

Docker

Kubernetes

Model versioning

Monitoring systems

APIs development

Job description

Feedinkoo is seeking an ML Engineer Intern to serve as a technical backbone for our content platform, tackling scalable ML systems and low latency challenges while leveraging cutting-edge models. You’ll work autonomously with our founder and team on production ML models, scalable pipelines, multimodal inference, and API integration.

You will gain hands-on experience in real-time cultural trend understanding, deployment, monitoring, and cross-team collaboration in a fast-paced environment.