SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Melotech is a media and entertainment platform using AI and technology to create content at scale. Founded by entrepreneur Soheil Mirpour and backed by top-tier VCs (Cherry Ventures, Speedinvest, GFC) and angels from Spotify, Blackstone, and KKR, the company has achieved 4 billion minutes of content consumed in 24 months.
As ML Engineer, you will be the technical backbone powering the content platform, working autonomously alongside the founder and core team. Your responsibilities include:
- Building and deploying production ML models within the content and product ecosystem
- Designing scalable ML infrastructure and pipelines to 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
- Integrating ML capabilities into existing platforms and building APIs for model consumption
You will work in a flat hierarchy where your technical decisions directly influence company success and trajectory. The company operates remotely with regular global offsites for strategy and team bonding. Compensation includes competitive salary and equity ownership.
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
- Thrives in fast-paced, performance-oriented environments
- Passion for music, video, or social media
