Machine Learning Engineer, Drive

Experteer Overview As a Machine Learning Engineer on the Drive team, you will own end-to-end ML systems-from feature engineering to deployment and monitoring. You will build models for delivery and pickup ETA, merchant prep-time, and order release, while exploring deep learning, RL, and multimodal AI to improve prediction accuracy and logistics decisions. You’ll work across product, software, and data science teams to bring AI capabilities into production at scale. This role offers the chance to influence millions of deliveries through robust, production-ready ML solutions. The opportunity centers on shaping logistics and AI-native experiences that benefit merchants, customers, and dashers. Compensation / Benefits * Develop end-to-end ML systems from feature engineering to deployment and monitoring * Build models for delivery ETA, pickup ETA, merchant prep-time, and order release prediction * Create deep learning models using large-scale spatiotemporal, marketplace, and behavioral data * Apply reinforcement learning and optimization to improve logistics decisions and assignment strategies * Develop AI-native product experiences using LLMs and VLMs to transform media into quality signals * Design rigorous online experiments and production monitoring to drive continuous improvement * Collaborate with software engineers, product managers, data scientists, and platform teams to scale ML capabilities Tasks * 5+ years of industry experience shipping production ML systems with measurable impact * Proficiency with PyTorch and distributed data processing (Spark, Airflow) * Experience deploying and maintaining ML systems end-to-end * Strong Python software engineering skills and ML infrastructure experience * Deep expertise in Deep Learning or Reinforcement Learning or Optimization/Operations Research or LLMs/VLMs * Experience applying ML to estimation, ranking, prediction, optimization, or decision-making at production scale * Hands-on experience with LLMs or VLMs is a strong plus * Location in or willingness to relocate to SF Bay Area, Seattle, or comparable Key requirements * medical, dental, and vision benefits * 401(k) with employer matching * paid parental leave * wellness benefits * commuter benefits match * mental health program

• Apply reinforcement learning and optimization to improve logistics decisions and assignment strategies * Develop AI-native product experiences using LLMs and VLMs to transform media into quality signals * Design rigorous online experiments and production monitoring to drive continuous improvement * Collaborate with software engineers, product managers, data scientists, and platform teams to scale ML capabilities Tasks * 5+ years of industry experience shipping production ML systems with measurable impact * Proficiency with PyTorch and distributed data processing (Spark, Airflow) * Experience deploying and maintaining ML systems end-to-end * Strong Python software engineering skills and ML infrastructure experience * Deep expertise in Deep Learning or Reinforcement Learning or Optimization/Operations Research or LLMs/VLMs * Experience applying ML to estimation, ranking, prediction, optimization, or decision-making at production scale * Hands-on experience with LLMs or VLMs is a strong a and * Location in or willingness to relocate to SF Bay Area, Seattle, or comparable Key requirements * medical, dental, and vision benefits * 401(k) with employer matching * paid parental leave * wellness benefits * commuter benefits match * mental health program