Senior/Staff Machine Learning Engineer (Simulation Realism)
Waymo · Mountain View, CA, United States
About The Role
Join our team as a Senior/Staff Machine Learning Engineer, where you will apply your expertise in machine learning to enhance the quality and accuracy of labeled data derived from multi-modal sensors. You will develop and implement models to identify and correct issues in perception-based data for simulation, analyze data quality, investigate anomalies, and drive improvements in our data labeling pipelines. You will collaborate with perception and simulation teams to refine data requirements and quality standards, and lead efforts to address complex data quality challenges.
In addition to a competitive salary, we offer a comprehensive benefits package that includes medical, dental, and vision insurance, mental health support, generous paid time off, a hybrid work model, and many more perks to support your well-being and work-life balance.
- Appliquer l'expertise en apprentissage automatique pour améliorer la qualité et l'exactitude des données étiquetées dérivées de capteurs multimodaux.
- Développer et mettre en œuvre des modèles pour identifier et corriger les problèmes dans les données basées sur la perception pour la simulation.
- Collaborer avec les équipes de perception et de simulation pour affiner les exigences et les normes de qualité des données.
- Strong coding and design skills
- Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch)
- Strong background in computer vision, sensor fusion, or perception
- Experience with data analysis and quality assessment
- MS or BS in Computer Science or a related field
- 5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning
- Experience with autonomous vehicle sensor data
- PhD degree in Computer Science or a similar discipline
- Familiarity with data labeling processes and challenges
- Experience taking ML models from research to production
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