Senior/Machine Learning Engineer — Performance Optimization
Tasks
- Analyze offline metrics and online experiment results
- Build machine learning models for prediction
- Collaborate with analytics and engineering teams
- Create labels and evaluation workflows
- Debug data quality and label quality issues
- Deploy models into production decisioning systems
- Develop features and training datasets
- Improve model performance and calibration
- Monitor models in production
- Run online experiments and A B testing
- Train and evaluate machine learning models
Perks/Benefits
- Commuter benefits
- Dental insurance
- Disability insurance
- Healthcare
- 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
A/B | A/B Testing | Apache Spark | B testing | Calibration | Classification | Experimentation | Feature Engineering | LightGBM | Machine Learning | Model Evaluation | Model Monitoring | Online Experimentation | PyTorch | Python | Ranking | Regression | SQL | Spark ML | Supervised Learning | TensorFlow | XGBoost
Education
Regions
Countries
States
Cities
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