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Machine Learning models are at the core of Waymo's fully autonomous driving technology. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like perception, planning and control while collaborating with hardware and systems engineers.
Job Responsibility:
Design and implement state-of-the-art multi-modality (camera/radar/lidar/audio) and multi-task perception models
Train and evaluate ML models on our vast and high fidelity data from Waymo driving logs
Gain experience using large scale ML infrastructure and working in a team environment
Requirements:
Enrolled in a PhD program in Computer Science, Robotics, or a similar technical field of study or enrolled in a master's program with a strong publication record
Experience in Python
Experience building ML models with JAX, PyTorch or Tensorflow
Nice to have:
Strong track record of high quality ML / CV research. Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
Experience in object detection, segmentation, multiple-object tracking audio perception or occupancy detection
What we offer:
Interns are also eligible to participate in the Company’s generous benefits programs