Staff Machine Learning Engineer (Pricing)
Tasks
- Build low latency real time inferencing services
- Collaborate to translate business goals into measurable technical deliverables
- Deploy models on Kubernetes with safe rollout strategies
- Design and implement backend model pipelines
- Develop feature engineering training and evaluation pipelines
- Establish ML operational excellence with observability and retraining triggers
- Implement ML monitoring for technical and business metrics
- Mentor engineers and scientists through design reviews
- Own end to end pricing optimization ML systems
- Run online A B testing and causal measurement
Perks/Benefits
- 401k matching
- Dental insurance
- Family planning assistance
- Flexible time off
- Healthcare benefits
- Hybrid work support
- Learning development and recognition programs
- Life insurance
- Mental health and wellness resources
- Parental leave
- Vision insurance
- Volunteering program
Skills/Tech-stack
A/B Testing | API Design | AWS | Automated retraining | B testing | Bandit Algorithms | CI/CD | Caching | Calibration | Canary Deployment | Causal Inference | Constrained optimization | Databricks | Docker | Drift monitoring | Experiment design | FastAPI | Feature Engineering | GitHub | Kubernetes | Machine Learning | Model Drift | Model Observability | Model Packaging | Model drift monitoring | Multi-Objective Optimization | Objective optimization | Online A/B Testing | PyTorch | Python | Real Time | Real-time Inference | SQL | Scikit-learn | Shadowing | Snowflake | Spark | TensorFlow | Terraform | Uplift Modeling
Education
Regions
Countries
States
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