Machine Learning Scientist III (AI)

TL;DR

Machine Learning Scientist III (AI): Researching, designing, and deploying advanced ML and Generative AI models for large-scale ranking and personalization in travel search with an accent on LLMs, deep learning, and scalable production systems. Focus on building robust ML pipelines, conducting A/B experiments, and collaborating cross-functionally to optimize search experiences for millions of users.

Location: London, United Kingdom

Company

hirify.global powers global travel with cutting-edge technology and a diverse, inclusive culture focused on innovation and employee growth.

What you will do

• Research, design, and implement advanced ML and Generative AI models for ranking and personalization.
• Build, test, deploy, and iterate ML models in production with measurable impact using A/B testing.
• Combine state-of-the-art ML techniques with proven ranking and collaborative filtering approaches.
• Collaborate with engineers, analysts, and product managers to deliver scalable, impactful solutions.
• Stay updated on ML, GenAI, and academic research to drive innovation.

Requirements

• Location: London, United Kingdom
• PhD in Computer Science, Engineering, Statistics, Math, or related field.
• 4+ years applied ML experience with end-to-end model lifecycle.
• Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
• Strong foundation in ML, statistics, ranking algorithms, and online experimentation.

Nice to have

• Experience with large-scale ranking/recommender systems.
• Deep understanding and experience with LLMs and generative AI architectures.
• Experience with distributed data processing systems like Spark or Hadoop.
• Strong communication and collaboration skills.
• Track record of impactful production ML systems or peer-reviewed publications.

Culture & Benefits

• Inclusive and diverse work environment celebrating differences.
• Flexible work model with some office presence.
• Comprehensive benefits including travel perks, parental leave, and generous time off.
• Career development resources and support.
• Recognized as a Best Place to Work and award-winning culture.