Senior Machine Learning Engineer
Tasks
- Analyze message content to detect fraudulent activity
- Build and maintain Snowflake data models for analytics
- Collaborate crossfunctionally to deliver data driven solutions
- Define and model time series forecasts for demand prediction
- Define and track personalization KPIs
- Deploy trained models into production
- Design and maintain data model training and maintenance best practices
- Develop proprietary AI and machine learning solutions for personalization
- Develop user to user mapping capabilities
- Ensure reliable observable model deployment in Snowflake
- Identify business problems suitable for data solutions
- Improve product discovery using search technologies
- Integrate models with data pipelines
- Lead recommendation and search algorithm improvements
- Maintain version control of code and configurations with Git
- Mine user data to improve personalization
- Run A B testing and communicate results to stakeholders
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS OpenSearch | Algolia | B testing | Causal Inference | Causal testing | DBT | Embeddings | Experiment design | Git | Language Processing | Machine Learning | NLP | Natural Language | Natural Language Processing | Personalization | Python | Recommendation Systems | SQL | Search Relevance | Series forecasting | Snowflake | Time Series | Time Series Forecasting | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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