Who we areMelotech is revolutionizing media and entertainment.
We create art through technology for humans to enjoy.
In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide.
Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.
What you will doAs 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? And 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 ecosystemDesigning scalable ML infrastructure and pipelines that handle massive media datasetsImplementing inference systems for content optimization across multiple verticalsFine-tuning and deploying multimodal AI systems using MLOps best practicesCollaborating with data science teams to transition research models into production-ready systemsOptimizing model performance for cost efficiency while maintaining accuracy and speed requirementsIntegrating ML capabilities into existing platforms and building APIs for seamless model consumptionWho you areYou're a production-focused ML engineer who bridges the gap between cutting-edge tech and scalable systems.
Your expertise lies in building robust ML infrastructure that powers real-world applications at scale.
You thrive in fast-paced environments where your technical decisions directly impact business outcomes and user experience.