Software/ML Engineer Intern (Simulation, MS/PhD, Summer 2027)

Software Engineering builds the brains of Waymo’s fully autonomous driving technology. Our software allows 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 robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we’d like to meet you Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill‑set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! Design and build multimodal data pipelines in Python or C++ that combine vehicle sensor data (camera, LiDAR) and 3D map data for machine learning models Prototype and iterate on Vision-Language Model (VLM) workflows to automatically detect and categorize complex real-world driving scenarios and road changes Build ground‑truth evaluation datasets, measure model precision and recall, and systematically improve detection accuracy Integrate automated labeling pipelines into data storage and simulation testing workflows 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 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 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 Elder care and support Survivor income benefit Backup childcare 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 Currently pursuing a MS or PhD in a quantitative or technical field (such as Computer Science, Robotics, Machine Learning, or a related area) Strong programming skills in Python or C++ Experience with data analysis, SQL, and basic statistics Familiarity with 3D geometry, coordinate transforms, or sensor data processing Experience with computer vision, Vision-Language Models (VLMs), or prompt engineering Experience working with large-scale datasets or distributed data pipelines #J-18808-Ljbffr