Role Description
As our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions:
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How do we build ML systems that scale to millions of users while maintaining low latency?
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What's the optimal architecture for training and deploying models that understand cultural trends in real-time?
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How do we leverage cutting-edge models to enhance creative processes while preserving quality?
Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
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Building and deploying production ML models for within our content and product ecosystem
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Designing scalable ML infrastructure and pipelines that handle massive media datasets
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Implementing inference systems for content optimization across multiple verticals
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Fine-tuning and deploying multimodal AI systems using MLOps best practices
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Collaborating with data science teams to transition research models into production-ready systems
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Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements
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Integrating ML capabilities into existing platforms and building APIs for seamless model consumption
Qualifications
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Degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field
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3+ years of hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms
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Expert-level proficiency in Python, ML frameworks, and cloud platforms
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Extensive experience with MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems
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Proven track record deploying and scaling ML models in production environments with high availability requirements
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Self-directed approach with ability to architect complex systems independently while collaborating across technical teams
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You thrive in a fast-paced and performance-oriented environment
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Colleagues would describe you as hard-working, ambitious and persistent
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You're obsessed with music, video or social media
Benefits
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Competitive salaries
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Equity ownership in the business
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Remote work flexibility
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Regular global offsites for strategizing and bonding
What the process will look like
We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:
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Take-home case study: Real-world project - showcase your skills and working style
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Case interview: 90-minute case discussion - getting to know you & present and debate your results with a team member
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Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
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Founder interview: 90-minute interview with our CEO - going deep on all topics
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Team interview: Individual or group interview with other team members - depending on position
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Offer, contract signing and onboarding
Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.