Senior ML Engineer (AI)

TL;DR

Senior ML Engineer (PyTorch/Python): Delivering end-to-end ML use cases for safety, recommendations, and product optimization with an accent on scaling ML production layers and improving system maturity. Focus on refactoring legacy models, implementing LLM-based systems, and enhancing the observability of production pipelines.

Location: Hybrid, based in Paris, France (requires 2 days of office presence per month)

Company

hirify.global is a Social Discovery app for Gen Z designed to create genuine connections by eliminating likes and follows.

What you will do

• Deliver end-to-end ML use cases, including recommendation systems, safety algorithms, and moderation models.
• Design, train, evaluate, and deploy ML models while balancing delivery speed with system robustness.
• Drive improvements across the ML lifecycle by establishing KPIs and monitoring standards to track performance.
• Evolve the ML platform by developing tools, workflows, and reusable components.
• Take ownership of legacy models to retrain and integrate them into modern production pipelines.
• Collaborate with Data Engineering, MLOps, and Product teams to align ML models with business objectives.

Requirements

• 5+ years of experience in ML/Data, specifically working with large-scale datasets (hundreds of gigabytes).
• Strong expertise in modern ML frameworks such as PyTorch, TensorFlow, or JAX.
• High proficiency in Python and its data ecosystem.
• Practical experience with neural networks and LLM-based systems.
• Comprehensive understanding of the end-to-end ML system (data → training → deployment → monitoring).
• Must be based in France to accommodate the hybrid office requirement in Paris.

Culture & Benefits

• Highly flexible hybrid work model requiring only two office days per month.
• Competitive salary and company equity.
• Fully paid comprehensive health insurance for employees and their families via Alan.
• Extensive parental benefits, including additional leave and access to nurseries/daycare in France.
• Coverage of fees for external professional events and meetups.
• Vibrant company culture with monthly team events and get-togethers.

Hiring process

• Phone screen with a Talent Acquisition Manager.
• Interview with the Platform Engineering Director.
• Technical case study.
• Cultural fit assessments.