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 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.
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
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
