This internship will be based on-site at our headquarters in Mountain View, CA.
You will:- Design and implement state-of-the-art multi-modality (camera/radar/lidar/audio) and multi-task perception models. Potential project areas include:
- 3D object detection and tracking
- Open vocabulary detection applying world knowledge models
- 3D occupancy detection
- Semantic segmentation
- Large-scale foundation models
- Pre-training and self-supervised learning through forecasting
- 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
You have:- Enrolled in a Masters or 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
We prefer:- 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
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly Masters Pay
$70-$70 USD
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$85-$85 USD
