AI/ML Engineer

Job not on LinkedIn

🕒 March 28

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Melotech

WebsiteLinkedInAll Job Openings

1 - 10 employees

📱 Media

👥 B2C

Media • B2C

Melotech is a technology-driven media and entertainment company that creates and distributes music, films, and related digital content while building communities and partnerships across the industry. The company produces songs and playlists, elevates artists, partners with labels, acquires catalogs, builds channels and film libraries, and invests in audience and community growth; its work has been consumed for billions of minutes worldwide. Melotech focuses on blending creative production with technology to scale distribution, artist development, and audience engagement.

📋 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