Senior ML Engineer

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Logo of Yubo

Yubo

51 - 200 employees

Founded 2015

👥 B2C

📱 Media

💰 $47.5M Series C - Yubo on 2020-11

B2C • Media

Yubo is a Gen Z–focused social networking app that helps users discover and make new friends through real-time chats, live video and interest-based interactions. The platform emphasizes authentic, peer-to-peer socializing (not algorithm-driven feeds) and includes safety and moderation features such as age verification and tools like SafeBlur to protect younger users. Yubo is consumer-facing and positioned as a social media destination for casual connection and community discovery.

📋 Description

• Deliver end-to-end ML use cases (recommendation systems, safety algorithms, moderation models, etc.). • Design, train, evaluate, and deploy ML models where appropriate. • Balance speed of delivery with robustness and reliability. • Drive improvements across the ML lifecycle (training, deployment, monitoring, iteration). • Establish KPIs and monitoring standards to track model performance over time. • Ensure continuous alignment with product and safety objectives. • Help improve the reliability and observability of production ML systems. • Contribute to the evolution of our ML platform through tools, workflows, and reusable components. • Help establish and promote scalable ML engineering practices across teams. • Take ownership of legacy models and realign them with current business needs. • Improve, retrain, and integrate them into modern pipelines. • Explore and implement advanced ML approaches where relevant. • Partner with Data Engineering, MLOps, Backend Platform, and Product teams. • Act as a bridge between ML, platform, and business stakeholders.

🎯 Requirements

• You have 5+ years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds of gigabytes). • You have strong expertise in modern ML frameworks (TensorFlow or PyTorch or JAX). • You are highly proficient in Python (data ecosystem). • You have strong knowledge of neural networks and practical experience with LLM-based systems. • You understand ML systems end-to-end (data → training → deployment → monitoring). • You have strong experience in production ML systems, not only research. • You demonstrate strong product sense and can align models with business needs. • You are pragmatic and impact-driven, balancing experimentation with delivery. • You are able to explain complex ML topics clearly (strong pedagogy). • You operate well under ambiguity and can structure complex problems. • You are able to drive technical decisions and influence stakeholders through expertise and collaboration.

🏖️ Benefits

• A highly competitive salary range as well as equity in the company • A highly flexible remote work policy, 2 days at the office per month, with monthly team events. • We also cover fees for external professional events and meetups (Android Makers, etc…) • Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo ! • Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France. • Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options • Team Activities: participate in get-togethers, events, and team-building activities • Family-Friendly: we support parents with childcare options and family-friendly policies • Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives

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