Machine Learning Engineer (Gen SWE)

• This role follows a hybrid work schedule and reports to a Software Tech Lead Manager
• Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams
• Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found
• Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity
• Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well
• Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features
• Define success metrics and use offline evaluation, simulation, and live experiments to measure impact on service quality and rider experience

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
• Counseling services
• 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
• 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- BS degree in Computer Science or equivalent practical experience
• 5+ years of software engineering experience, including building and deploying ML models into production
• Experience building backend distributed systems
• Experience in autonomous vehicles or robotics
• Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction
• Experience deploying models on-device or on edge hardware with compute and latency constraints
• Experience in developing machine learning models, infrastructure, and pipelines
• MS in Computer Science, or equivalent practical experience
• Experience with C++