[Hiring] AI/ML Engineer @Melotech

Role Description

As our ML Engineer, you'll be the technical backbone powering our content platform. You'll tackle the critical questions:

• How do we build ML systems that scale to millions of users while maintaining low latency?
• What's the optimal architecture for training and deploying models that understand cultural trends in real-time?
• 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:

• 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

Qualifications

• 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 while collaborating across technical teams
• You thrive in a fast-paced and performance-oriented environment
• Colleagues would describe you as hard-working, ambitious and persistent
• You're obsessed with music, video or social media

Benefits

• Competitive salaries
• Equity ownership in the business
• Remote work flexibility
• Regular global offsites for strategizing, bonding, and pushing boundaries together

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:

• 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

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.