Staff ML Engineer

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🕒 April 17

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Yubo

WebsiteLinkedInAll Job Openings

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, safety algorithms, etc.). • Ensure production readiness, scalability, and long-term maintainability. • Balance speed of delivery with robustness and reliability. • Define and improve the full 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. • Contribute to the “ML as a Platform” strategy (tools, workflows, reusable components). • Define scalable standards for ML development across teams. • Enable self-service ML capabilities. • Take ownership of legacy models and realign them with current business needs. • Improve, retrain, and integrate them into modern pipelines. • Define standards for LLM usage (moderation, recommendation). • 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. • Bring technical leadership and structure to ML practices across the organization.

🎯 Requirements

• 8–10 years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds of gigabytes). • Strong expertise in modern ML frameworks (TensorFlow or PyTorch or JAX). • Highly proficient in Python (data ecosystem). • Deep knowledge of neural networks and LLMs. • Understand ML systems end-to-end (data → training → deployment → monitoring). • Strong experience in production ML systems, not only research. • Demonstrate strong product sense and can align models with business needs. • Pragmatic and impact-driven (not purely research-oriented). • Able to explain complex ML topics clearly (strong pedagogy). • Operate well under ambiguity and can structure complex problems. • Bring technical leadership and influence without authority.

🏖️ 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. • Enjoy Top-notch Benefits • Culture is central at Yubo, hence the numerous benefits: • 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