Staff Tech Lead (ML Data Infrastructure and Inference Platform)

• The ML Data Infrastructure and Inference Platform team owns the Data as well as the Data infrastructure for all ML Flywheels at Waymo
• We do this via a planet scale centralized feature store for all ML training and evaluation, the feature extraction framework as well the inference platform for generating the data via bulk and online inferences
• The objective of the team is to deliver data necessary for all our onboard as well Foundation Models to make the ML Flywheel successful and in turn lead to the successful scaling of Waymo
• The team is highly collaborative and closely works with all modeling teams within Waymo
• As a Tech Lead you’ll build, lead and contribute to Waymo’s ML data infrastructure platform to enable planet scale ML Flywheel for all ML models at Waymo via data store and data infra ecosystem
• Work closely with teams across Waymo both onboard & offboard Foundation models, to understand the data infra needs, data distributions, data quality, data value, freshness and onboard these flywheels onto our planet scale data store and ensure the seamless adoption and guide the development of our infra components
• You will closely lead, mentor and guide a team of engineers to build and onboard teams to the infrastructure efficiently
• The team has a large surface area and scope in terms of impact, cross team collaboration and direct interaction with ML models at Waymo

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
• Medical advocacy program for transgender employees
• Support programs including menopause benefit
• Second medical opinion for you and your loved ones
• 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
• 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
• 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- Experience tech leading projects with high cross team collaboration
• Experience tech leading a team of engineers on complex projects
• Experience with ML Data and ML Flywheels
• Experience with building highly scalable distributed system
• 6+ years of professional experience in the field of software engineering
• Experience in programming C++
• Passionate about Data and building ML infra & tools
• Experience Tech leading projects, cross functional projects
• Experience with handling large datasets in the order of exabytes
• Experience building machine learning infrastructure and model hosting / inference infrastructure
• Experience with production services with high QPS