Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Architecting and deploying high-throughput, low-latency recommendation systems capable of scaling to millions of users and billions of daily requests with an accent on leveraging large-scale datasets to improve model performance. Focus on developing and refining relevance models and bidding strategies using advanced machine learning techniques.

Location: Hybrid setup with 3 core office days in Hamburg, Germany.

Company

hirify.global is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level.

What you will do

• Architect and deploy a high-throughput, low-latency recommendation system.
• Leverage large-scale datasets to improve model performance.
• Develop and refine relevance models and bidding strategies using advanced machine learning techniques.
• Own the end-to-end lifecycle of production machine learning models, including monitoring and performance analysis.
• Collaborate with backend engineering teams to design and implement robust, scalable, and production-ready machine learning solutions.
• Conduct rigorous A/B testing and experimentation to validate hypotheses and measure the impact of new features on key business metrics.

Requirements

• 5+ years of experience developing and deploying production-grade recommendation systems in a high-volume environment.
• Demonstrated expertise in deep learning, with hands-on experience building and optimizing neural network architectures using TensorFlow, PyTorch, or Jax.
• You are a software engineer at heart.
• Understanding of data engineering principles.
• Experience working with large-scale distributed data processing systems (e.g., Spark, Flink, Kafka) and data storage solutions (e.g., AWS Athena, S3, MySQL).

Culture & Benefits

• Regular feedback and a development program to support your growth.
• Visa support and a relocation bonus to help you settle in Hamburg.
• Flexible working hours, 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym.
• Mental health support through the Employee Assistance Program (EAP).
• Central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
• Regular team and company events, including hackathons and social gatherings.