Machine Learning MS/PhD Intern (Perception, Summer 2027)
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Salary
≈ $69k – $115k per year (Estimated)
Location
In office (Mountain View)
Seniority
Intern
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H-1B filings in 12 months: 331 · green card filings: 28
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Internship
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 3, 2026. Waymo scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Waymo is an American autonomous driving company that began as the Google self-driving car project in 2009 and became a standalone Alphabet subsidiary in 2016. It operates the largest fully driverless commercial ride-hailing service in the world through the Waymo One app, carrying paying passengers with no human in the vehicle across Phoenix, San Francisco, Los Angeles, Austin and an expanding list of cities. Headquartered in Mountain View, California, the company builds its own sensor suite and the Waymo Driver software stack, integrates them into vehicles from partners such as Jaguar, Zeekr and Hyundai, and also develops autonomous trucking technology.
Backed by Bessemer Venture Partners, Sequoia Capital, Kleiner Perkins
Join Waymo, a leader in self-driving technology, as a Machine Learning MS/PhD Intern in the Perception team. You will work on cutting-edge projects that have a significant impact on the company and gain valuable experience in the field of machine learning and computer vision. This internship will be based on-site at our headquarters in Mountain View, CA, and offers a range of benefits including medical, dental, and vision insurance, competitive compensation, and opportunities for professional development.
Missions
- Concevoir et mettre en œuvre des modèles de perception multi-modalité et multi-tâches de pointe.
- Former et évaluer des modèles d'apprentissage automatique sur des données vastes et de haute fidélité.
- Collaborer avec des équipes de recherche pour résoudre des problèmes du monde réel et intégrer les résultats dans le système Waymo Driver.
Profil recherché
- 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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