W
Waymo
Machine Learning MS/PhD Intern (Perception, Summer 2027)
Skills
PythonPyTorchTensorFlowMachine Learning
17 days ago
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Important information
Contract type:
Internship
Location:
United States
Work mode:
Onsite
Published on:
3 October 2026
What they need
- The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver
- We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware
- 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
- 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
Benefits
- Medical, dental, and vision insurance for employees and dependents
- Employee assistance programs focused on mental health
- Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
- Access to mental health apps
- Onsite wellness centers
- Counseling services
- Support programs including menopause benefit
- Second medical opinion for you and your loved ones
- Medical advocacy program for transgender employees
- Competitive compensation
- Regular bonus and equity performance grant opportunities
- Generous 401(k) and regional retirement plans
- Annual cross-company compensation review and pay equity analysis
- 1-on-1 financial coaching
- Fertility and growing family assistance
- Parental leave and baby bonding leave
- Elder care and support
- Backup childcare
- Survivor income benefit
- Caregiver leave
- Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
- Jury duty leave
- Military leave
- Hybrid work model with remote work opportunities also available
- Educational reimbursement
- Peer learning and coaching platform
- Donation matching programs
- Employee resource groups
- Volunteer hours
- Internal community groups and local culture clubs
- Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
- On-site meals and snacks
- Fitness centers, massage programs, and ergonomic support
- On-demand fitness, wellbeing, and cooking classes
- Commuter benefits- 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 building ML models with JAX, PyTorch or Tensorflow
- Experience in Python
- 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
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