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About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
As a Senior Engineering Manager at AV Labs, you will lead a team of machine learning engineers and applied researchers dedicated to developing state-of-the-art AI models that parse urban driving scenarios. Your role involves managing the day-to-day development of advanced autonomy algorithms and ensuring high-fidelity semantic extraction from multi-modal sensor data to enrich our L4 data lake. You will collaborate with technical leadership to make foundational architectural choices, maintain system quality, and ensure low-latency execution at scale. Key responsibilities include fostering a culture of rigorous scientific experimentation, mentoring team members, and aligning ML efforts with broader business goals through cross-functional collaboration. The ideal candidate has extensive experience in applied machine learning, managing high-performing teams, and delivering large-scale AI models. Proficiency in modern AI/ML frameworks like PyTorch and TensorFlow, along with expertise in Python/Linux environments, is essential. Prior AV industry experience and a strong background in guiding teams to process massive datasets are preferred.