AI/ML Engineer

🕒 March 28

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 33%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 229 days.
• Jobs at this company usually fill in 149 days.
• Reposted once.
• No salary listed.

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Melotech

WebsiteLinkedInAll Job Openings

1 - 10 employees

📱 Media

👥 B2C

Media • B2C

Melotech 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.

📋 Description

• Build and deploy production ML models for the content and product ecosystem • Design scalable ML infrastructure and pipelines handling massive media datasets • Implement inference systems for content optimization across multiple verticals • Fine-tune and deploy multimodal AI systems using MLOps best practices • Collaborate with data science teams to transition research models into production-ready systems • Optimize model performance for cost efficiency while maintaining accuracy and speed requirements • Integrate ML capabilities into existing platforms and build APIs for seamless model consumption • Work autonomously alongside the founder and team • Participate in take-home case study, case interview, online assessment, founder interview, and team interview stages

🎯 Requirements

• 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 • Ability to architect complex systems independently while collaborating across technical teams • Ability to thrive in a fast-paced and performance-oriented environment • Passion for music, video, or social media

🏖️ Benefits

• Equity ownership in the business • Remote work with freedom over work location • Regular global offsites • Competitive salary • Flat hierarchies and immediate impact • Performance-based rewards

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