Staff Machine Learning Scientist (Remote from EMEA)

Accountabilities:

• Explore, analyze, and model large-scale, complex datasets using statistical, machine learning, and deep learning techniques.
• Prototype, validate, and productionize models, collaborating with engineering teams to deploy and scale solutions.
• Research and apply advanced methods in areas such as natural language processing, predictive analytics, recommendation systems, and anomaly detection.

Requirements:

• Extensive experience applying end-to-end machine learning and statistical modeling to real-world, production systems.
• Proven expertise in NLP, predictive modeling, recommendation systems, anomaly detection, and training models from scratch.
• Demonstrated ability to design and maintain full ML pipelines and MLOps workflows, from training to monitoring and lifecycle management.

Benefits:

• Opportunity to work with rich, real-world datasets and influence high-impact AI products used globally.
• Inclusive, collaborative culture that values diversity, ownership, and sustainable ways of working.
• Fully remote work environment with strong support for asynchronous collaboration.