Technical Specialist (ML Data)

Join Waymo, a leader in autonomous driving technology. As a Technical Specialist (ML Data), you will be the operational backbone of our machine learning initiatives, driving complex, cross-functional programs that deliver high-quality data. You will lead the end-to-end lifecycle of ML data, develop sophisticated labeling policies, design and implement ML evaluation frameworks, and communicate effectively with technical and non-technical audiences. This is a high-impact role for a detail-oriented leader with a deep understanding of the ML data lifecycle and experience in data analysis.

• Conduire le cycle de vie complet des données ML, de l'extraction initiale et de la curation à la définition des politiques d'annotation, à la validation et à l'évaluation des modèles.
• Diriger le développement de politiques d'annotation sophistiquées pour des domaines complexes de véhicules autonomes, en traduisant les problèmes de qualité ML ambigus en politiques d'annotation précises et évolutives.
• Concevoir et mettre en œuvre des cadres d'évaluation ML, identifier les principaux moteurs de performance du modèle et créer les métriques qui suivent la qualité ML au niveau des données.
• This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions
• Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation
• 8+ years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data
• Experience with ML Data Flywheel and working understanding of ML development life cycle (e.g., model deployment,model evaluation, data processing, debugging, fine tuning)
• Strong ability to thrive in a dynamic environment, demonstrating comfort and effectiveness when dealing with ambiguity
• Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations
• Background in leading and managing complex programs that span across organizations and functions, with specific experience in Machine Learning data annotation or Human-in-the-Loop initiatives
• Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements
• Experience with scripting language, machine learning tools, techniques and systems (including prompt engineering and fine-tuning LLMs ) is a strong plus
• Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data
• Excellent written and verbal communication and ability to describe technical implementations or analyses to a non-tech audience in an effective manner
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment
• A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions