Senior Machine Learning Engineer (NLP/AI)

TL;DR

Senior Machine Learning Engineer (NLP/AI): Building and optimizing product representation and retrieval systems for a commerce media ecosystem with an accent on designing and implementing ML models for product classification and enrichment, tailored to unique latency and scalability requirements. Focus on moving ambitious ideas into production, generating embeddings for billions of items, supporting large-scale retrieval indexes, and serving models under tight latency budgets.

Location: Hybrid in Paris, France

Company

hirify.global is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions.

What you will do

• Build product representation and retrieval systems, pushing prototypes and ideas into production.
• Design and implement machine learning models for product classification and enrichment, considering latency and scalability.
• Analyze large datasets, identify modeling challenges, propose solutions, build prototypes, and iterate quickly.
• Stay current on academic and industrial developments in machine learning, applying them to product use cases.
• Collaborate with experienced engineers to take models from prototype to production-quality systems.

Requirements

• Master’s or PhD in Machine Learning, Computer Science, or a related quantitative discipline.
• Development experience in at least one mainstream programming language (Python, Java, C++, C#, etc.).
• Strong mathematical foundation and experience with Deep Learning.
• Experience deploying ML solutions in production and tackling real-world scalability challenges.
• Work in a hybrid model based in Paris, France.

Culture & Benefits

• Hybrid work model blending home and in-office experiences.
• Learning, mentorship, and career development programs.
• Health benefits, wellness perks, and mental health support.
• Diverse, inclusive, and globally connected team environment.
• Attractive salary with performance-based rewards and potential for equity.