Waymo2027 Summer Intern, MS/PhD, Semantics
Waymo is hiring a 2027 Summer Intern, MS/PhD, Semantics in Mountain View, United States. It pays $70/hr and Level rates it ; you can apply on Level.
AI in this role
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
How we rate this
2027 Summer Intern, MS/PhD, Semantics at Waymo rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- What's a project where you used Jax hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Computer vision, PyTorch, TensorFlow, and Jax. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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