Machine Learning Scientist III (AdTech)

TL;DR

Machine Learning Scientist III (AdTech): Developing and optimizing predictive models for global advertising marketplaces with an accent on click-through rate, booking propensity, and auction dynamics. Focus on designing scalable, production-ready ML solutions that influence user experience and marketplace performance across a complex two-sided ecosystem.

Location: Geneva, Switzerland

Company

hirify.global is a global travel technology company powering travel experiences through a diverse portfolio of brands and cutting-edge marketplace solutions.

What you will do

• Design and develop statistical and optimization models for ad auction systems.
• Translate ambiguous business questions into measurable scientific problems and success metrics.
• Partner with engineers and product managers to productionize ML models.
• Build scalable approaches for feature engineering, experimentation, and data modeling.
• Integrate AI/ML solutions including GenAI/agentic approaches to enhance system capabilities.
• Contribute to technical documentation, code reviews, and operational best practices.

Requirements

• Advanced degree (MS or PhD) in Machine Learning, Computer Science, Statistics, or related field.
• 5+ years of industry experience in production-level machine learning and statistical modeling.
• Demonstrated ownership of end-to-end ML solutions at the service or domain level.
• Strong proficiency in Python, ML ecosystems (PySpark, TensorFlow, PyTorch), and SQL.
• Experience with experimental design, A/B testing, and large-scale distributed systems.
• Ability to communicate complex technical concepts and influence cross-functional stakeholders.

Nice to have

• Experience in advertising, ranking, recommendation, or auction optimization.
• Understanding of two-sided marketplaces or e-commerce ecosystems.
• Hands-on exposure to GenAI and LLMs for experimentation and modeling.

Culture & Benefits

• Comprehensive benefits package including travel perks and generous time-off.
• Flexible work model with modern office environments.
• Commitment to an inclusive, diverse, and welcoming culture.
• Strong focus on career development and continuous learning.
• Supportive environment recognized for award-winning culture and values.