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Tech Stack
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonTensorFlowPyTorchJAXneural networkslarge-scale datasetsML lifecycleproduction ML systemsLLMs
Soft Skills
technical leadershipcommunicationproblem structuringproduct sensepedagogyimpact-drivenadaptabilitycollaborationinfluence without authorityambiguity management