Senior Staff Machine Learning Engineer (Infrastructure Marketplace Optimization)

• Create ML infrastructure for automatically training and deploying optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning
• Build experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models
• Develop simulation infrastructure for all marketplace optimization and ML model evaluation

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- 3+ years of experience building productionized ML models
• Technical leader experience
• 6+ years of experience programming in backend coding languages
• BS degree in Computer Science or equivalent practical experience
• Experience in C++
• MS in Computer Science, or equivalent practical experience
• 5+ years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
• Prior experience building and deploying various ML models such as reinforcement learning