You will apply machine learning, causal inference, and optimization techniques to develop algorithms for real-time bidding on shipper freight
Job Summary
You will apply machine learning, causal inference, and optimization techniques to develop algorithms for real-time bidding on shipper freight.
The role involves collaborating closely with Product, Operations, Engineering, and other scientists to influence technical direction and business metrics.
Employees are eligible for comprehensive benefits including health plans, 401k match, equity awards, and performance incentive bonuses.
Matching Summary
You will apply machine learning, causal inference, and optimization techniques to develop algorithms for real-time bidding on shipper freight.
Salary
Base: $152,500.00 - $186,000.00 per year; Bonus/Equity: Performance incentive bonus program and equity awards available; Benefits: Health, dental, vision, 401k match, parental leave, disability, life insurance
Skills & Requirements
Must-have
Machine learning model development
Causal inference expertise
Optimization algorithm design
Python SQL Spark proficiency
Production ML deployment experience
Nice-to-have
Neural network algorithm development
Reinforcement learning knowledge
Multi-sided marketplace experience
Strategic agent behavior modeling
Cross-functional project leadership
Key Requirements
Ph.D. or M.S. in Computer Science, Machine Learning, or Operations Research
4+ years of experience deploying ML models in production
Experience designing and analyzing experiments for ML impact measurement