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Machine Learning MS/PhD Intern (Perception, Summer 2027)

Exclusive opportunity

Onsite

Machine Learning MS/PhD Intern (Perception, Summer 2027)

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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