Staff Machine Learning Engineer (Mapping)

• Design, train, and deploy machine learning models to automate the creation of Waymo’s HD maps, unlocking scale for the Waymo Driver
• Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation
• Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization
• Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions

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
• Second medical opinion for you and your loved ones
• Medical advocacy program for transgender employees
• Counseling services
• 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
• 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- B.S. in Computer Science, a similar technical field, or equivalent practical experience
• Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results
• Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX)
• M.S. or Ph.D. degree in Computer Science or a related discipline
• Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation)
• A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV)
• Experience with C++
• Direct experience with mapping or GIS is a bonus but not required
• 8+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning