🛠 Tech Stack

💼 About This Role

You'll architect and deploy high-throughput recommendation systems at adjoe, a leading mobile ad platform. You'll own the end-to-end lifecycle of production machine learning models using deep learning to drive company revenue. Collaborate closely with backend teams to ensure seamless integration and industrialization of scalable solutions.

🎯 What You'll Do

• Architect and deploy high-throughput, low-latency recommendation systems.
• Develop and refine relevance models and bidding strategies using ML.
• Own end-to-end lifecycle of production ML models with monitoring.
• Conduct rigorous A/B testing to measure impact on business metrics.

📋 Requirements

• 5+ years experience deploying recommendation systems in high-volume environments.
• Expertise in deep learning with TensorFlow, PyTorch, or Jax.
• Software engineering background with production-grade code skills.
• Experience with large-scale distributed data processing (Spark, Flink, Kafka).

✨ Nice to Have

• Understanding of data engineering principles.
• Experience with AWS Athena, S3, MySQL.

🎁 Benefits & Perks

• 📝 Development Program: Regular feedback and career growth support.
• 🏠 Relocation: Visa support and relocation bonus for moving to Hamburg.
• 🏖️ 30 Vacation Days: plus 3 weeks remote work per year.
• 💪 In-house Gym: free fitness classes and mental health EAP.
• 🍿 Office Perks: Alster lake view, snacks, and social events.