AI/ML Engineer Intern

TL;DR

AI/ML Engineer Intern (AI/ML): Building and deploying production ML models for a content and product ecosystem with an accent on scalable infrastructure and multimodal AI systems. Focus on designing robust ML pipelines, optimizing model performance, and integrating ML capabilities into existing platforms.

Location: Global Remote (work from anywhere)

Company

hirify.global is a media and entertainment technology company, backed by top VCs, creating art through technology for human enjoyment.

What you will do

• Build and deploy production ML models within the content and product ecosystem.
• Design scalable ML infrastructure and pipelines that handle massive media datasets.
• Implement inference systems for content optimization across multiple verticals.
• Fine-tune and deploy multimodal AI systems using MLOps best practices.
• Collaborate with data science teams to transition research models into production-ready systems.
• Optimize model performance for cost efficiency while maintaining accuracy and speed requirements.
• Integrate ML capabilities into existing platforms and build 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.
• English: B2 required.

Nice to have

• Passion for music, video, or social media.

Culture & Benefits

• Competitive salaries and equity ownership.
• Global remote work with regular worldwide offsites for strategy and bonding.
• Opportunity as an early employee to shape the company's trajectory and make an immediate impact.
• Flat hierarchies where your voice matters and ideas get implemented.
• Work in a fast-paced, performance-oriented environment.

Hiring process

• Take-home case study to showcase skills and working style.
• 90-minute case discussion and results debate with a team member.
• Online assessment including a motivational questionnaire and aptitude test.
• 90-minute interview with the CEO.
• Individual or group interview with other team members.
• Offer, contract signing, and onboarding.