Senior Principal Machine Learning Engineer - Optimization
Tasks
- Build and improve machine learning models
- Build model observability and feedback loops
- Design forecasting and calibration models
- Develop bidding and pacing optimization approaches
- Develop prediction and ranking models
- Improve model evaluation and experimentation
- Partner to define features labels and training datasets
- Provide technical leadership and mentorship
- Reason about sparse conversions and delayed feedback
- Translate model outputs into real time decisioning systems
Perks/Benefits
- Commuter benefits
- Dental insurance
- Disability insurance
- Fully stocked pantry
- Healthcare insurance
- Hybrid work schedule
- In-office catered lunches
- Life insurance
- Mobile reimbursement
- Paid Holidays
- Paid leave
- Unlimited paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
Calibration | Causal Inference | Distributed machine learning | Experimentation | Java | Machine Learning | Model Monitoring | PyTorch | Python | Ranking | Real Time | Real-time Decisioning | SQL | Spark | Statistical Evaluation | Supervised Learning | TensorFlow | XGBoost
Education
Regions
Countries
States
Cities
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