Staff ML Engineer

This is a fully remote position, open to applicants in France.

📋 Description

• Deliver comprehensive machine learning use cases (such as recommendation systems, safety algorithms, etc.).

• Ensure the readiness for production, scalability, and long-term sustainability.

• Balance the pace of delivery with robustness and dependability.

• Define and enhance the entire machine learning lifecycle (including training, deployment, monitoring, and iteration).

• Establish key performance indicators and monitoring standards to assess model performance over time.

• Maintain continuous alignment with product and safety goals.

• Contribute to the “ML as a Platform” strategy by developing tools, workflows, and reusable components.

• Define scalable standards for machine learning development across various teams.

• Facilitate self-service machine learning capabilities.

• Take responsibility for legacy models, ensuring they align with current business objectives.

• Enhance, retrain, and integrate these models into contemporary pipelines.

• Set standards for the usage of large language models (LLMs) in moderation and recommendations.

• Investigate and adopt advanced machine learning techniques where applicable.

• Collaborate with Data Engineering, MLOps, Backend Platform, and Product teams.

• Serve as a liaison between machine learning, platform, and business stakeholders.

• Provide technical leadership and structure to machine learning practices throughout the organization.

⛳️ Requirements

• 8–10 years of experience in machine learning or data science, including work with large-scale datasets (hundreds of gigabytes).

• Strong expertise in contemporary machine learning frameworks (such as TensorFlow, PyTorch, or JAX).

• Highly skilled in Python, particularly within the data ecosystem.

• Profound understanding of neural networks and large language models (LLMs).

• Comprehend machine learning systems comprehensively (data → training → deployment → monitoring).

• Significant experience with production machine learning systems, beyond just research.

• Exhibit strong product instincts and the ability to align models with business requirements.

• Pragmatic and impact-focused (not solely research-driven).

• Capable of clearly explaining complex machine learning concepts (strong pedagogical skills).

• Function effectively in ambiguous situations and can organize complex challenges.

• Provide technical leadership and influence without formal authority.

🏝️ Benefits

• A highly competitive salary range along with equity in the company.

• A flexible remote work policy, requiring only 2 days in the office per month, complemented by monthly team events.

• Coverage for fees related to external professional events and meetups (such as Android Makers, etc.).

• Excellent health insurance coverage for you and your family, fully paid for by Yubo!

• A variety of benefits for parents, including additional parental leave and easy access to nurseries and daycare facilities in France.

• Enjoy top-notch benefits.

• Company culture is paramount at Yubo, hence the extensive benefits offered.

• Enjoy a cool workplace with our fantastic Parisian office and numerous hybrid work options.

• Engage in team activities through get-togethers, events, and team-building exercises.

• Family-friendly policies support parents with childcare options.

• Wellness programs provide comprehensive health insurance, wellness initiatives, sports classes, and mental well-being support.