AI/ML Engineer Intern

About the role

You'll be the technical backbone powering our content platform. Your answers to critical questions will directly influence our company's success.

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

Requirements

• Pursuing a degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field
• Hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms
• Proficiency in Python, ML frameworks, and cloud platforms
• Self-directed approach with ability to architect complex systems independently while collaborating across technical teams

Qualifications

• Hard-working, ambitious and persistent
• Obsessed with music, video or social media

What makes this exciting

• One of the first employees of an ambitious team, changing the world of media and entertainment
• Your voice matters, your ideas get implemented, and your impact is immediate
• Competitive salaries and equity ownership
• Remote work with regular global offsites for bonding and strategy sessions

What the process will look like

• We hire on a rolling basis. The earliest starting date is always ASAP.
• Take-home case study: Real-world project - showcase your skills and working style
• Case interview: 90-minute case discussion - getting to know you & present and debate your results with a team member
• Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
• Founder interview: 90-minute interview with our CEO - going deep on all topics
• Team interview: Individual or group interview with other team members - depending on position
• Offer, contract signing and onboarding