Research Scientist (Map Scalability)

• Solve fundamental and applied research problems related to world understanding using VLMs, generative modeling and 3D reconstruction at large scale
• Prototype and iterate on various research ideas using Waymo’s internal driving data
• Scale and productionize world understanding solutions in collaboration with engineering teams across Waymo
• Present research findings to a wide audience within Waymo and Alphabet, with the possibility of publishing results to the research community

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
• Second medical opinion for you and your loved ones
• Support programs including menopause benefit
• Medical advocacy program for transgender employees
• Counseling services
• 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
• Survivor income benefit
• Elder care and support
• 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
• Volunteer hours
• Employee resource groups
• 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- Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline
• Strong ML software engineering skills in Python/C++ with an ability to rapidly prototype solutions
• Expert in either Foundational VLMs, Computer Vision or learning-based 3D reconstruction methods (3DGS, NeRF)
• 1-3+ years of experience in a related field
• Familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch)
• Domain experience in the autonomous vehicle or simulation space
• Fundamentals in 3D vision and/or computer graphics
• Hands-on experience productionizing and scaling ML solutions beyond the research stage
• Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc