Sr. Principal Machine Learning Engineer
CA - Virtual - E, United States
R
USD 288K-384K Senior-level Full Time
Tasks
- Apply causal inference for decision making
- Build reinforcement learning systems
- Conduct operations research experimentation
- Define research vision and agenda for optimization and marketplace systems
- Design and evaluate auction theory models
- Develop experimentation and causal measurement frameworks
- Develop multi objective optimization frameworks
- Develop predictive modeling and recommendation systems
- Establish technical standards and research processes
- Implement control systems research
- Lead research organization and technical strategy
- Optimize demand side platform bidding and delivery
- Optimize supply and audience targeting systems
- Oversee research lifecycle from problem formulation to deployment
- Partner with product engineering and business leadership
- Publish research and support patent generation
- Recruit mentor and retain research scientists
- Translate research into production systems at internet scale
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Auction theory | Bidding | Causal Inference | Control Theory | Demand-Side Platform | Economics | Forecasting | Large-scale | Large-scale experimentation | Machine Learning | Multi-Objective Optimization | Objective optimization | Operations Research | Optimization | Recommendation Systems | Reinforcement Learning | Statistical modeling | Targeting
Education
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