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

Waymo LLC; Mountain View (CA); On-site; USD 55,000 - 83,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

On-site meals

Fitness centers and wellness programs

Educational reimbursement

Parental leave and family support

Job summary

Waymo LLC is offering an on-site internship at our Mountain View, CA headquarters with the Perception team. You will work on state-of-the-art multi-modality perception models (camera, radar, lidar, audio) and contribute to research advancing 3D object detection, segmentation, and open vocabulary methods.

You will train and evaluate models on Waymo driving data and gain exposure to large-scale ML infrastructure.

Qualifications

• Enrolled in a PhD program in Computer Science, Robotics, or a similar technical field with strong publications.
• Experience building ML models with JAX, PyTorch or TensorFlow.
• Experience in object detection, segmentation, multiple-object tracking, audio perception, or occupancy detection.

Responsibilities

• Design and implement multi-modality perception models (camera/radar/lidar/audio).
• Advance 3D object detection, tracking, and occupancy detection.
• Open vocabulary detection using world knowledge models and foundation models.
• Train and evaluate ML models on Waymo driving data and scale ML infrastructure.

Skills

Python

JAX

PyTorch

TensorFlow

Research Publications

Computer Vision

3D Perception

Education

PhD student in Computer Science or Robotics

Job description

• 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
• Support programs including menopause benefit
• Counseling services
• Medical advocacy program for transgender employees
• Second medical opinion for you and your loved ones
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• 1-on-1 financial coaching
• Annual cross-company compensation review and pay equity analysis
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Survivor income benefit
• Backup childcare
• Elder care and support
• 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 recordExperience building ML models with JAX, PyTorch or TensorflowExperience in PythonStrong 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, PAMIExperience in object detection, segmentation, multiple-object tracking audio perception or occupancy detection