Role at a glance
- Job function
-
AI & Data Computer Vision Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Mountain View, California, United States
- Work arrangement
- On-site
- Employment
- Internship
- Experience
- 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
- Education
- Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study or enrolled in a master's...
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Role Summary
This internship focuses on designing and implementing multimodal, multitask perception models and training and evaluating ML models using Waymo driving-log data. Potential project areas include 3D detection and tracking, semantic segmentation, occupancy detection, foundation models, and self-supervised learning.
What You'll Do
- Design and implement state-of-the-art multimodal and multitask perception models.
- Work on potential project areas including 3D object detection and tracking, open-vocabulary detection, 3D occupancy detection, semantic...
- Train and evaluate ML models using data from Waymo driving logs.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Enrollment in a master's or PhD program in a technical field, experience with Python, and experience building ML models with JAX, PyTorch, or TensorFlow.
Preferred
- Strong track record of high quality ML / CV research, with publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML,...
- Experience in object detection, segmentation, multiple-object tracking, audio perception, or occupancy detection.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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. If you're curious and passionate about Level 4 autonomous driving, we'd like to meet you.
Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
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
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.