AI/ML Engineer

Melotech
Berlin, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Berlin, Germany

Tech stack

Artificial Intelligence
Cloud Computing
Monitoring of Systems
Python
Machine Learning
TensorFlow
Systems Integration
System Availability
Kubernetes
Information Technology
Low Latency
Machine Learning Operations
Software Version Control
Docker

Job 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? 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 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

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
  • 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

About the company

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 3 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., You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push 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: 1. Take-home case study: Real-world project - showcase your skills and working style 2. Case interview: 90-minute case discussion - getting to know you & present and debate your results with a team member 3. Online assessment: Motivational questionnaire and aptitude test - are you made for the job? 4. Founder interview: 90-minute interview with our CEO - going deep on all topics 5. Team interview: Individual or group interview with other team members - depending on position 6. 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.

Apply for this position