Senior Machine Learning Engineer, Recommendation & AI Applications
Summary
Builds and deploys AI-powered recommendation systems and LLM features for a content platform, running experiments, monitoring models, and optimizing ranking pipelines.
- Analyze experiment metrics
- Apply LLMs to recommendations
- Build feature generation pipelines
- Conduct A B experimentation
- Contribute to 0 to 1 AI projects
- Deploy successful models to production
- Design recommendation systems
- Detect model drift
- Implement AI-assisted development workflows
- Improve retrieval ranking
- Monitor data quality
- Optimize multi objective models
- Prototype and validate experiments
- Run online inference
- Train models offline
- Troubleshoot production issues
Perks/Benefits:
- 401k matching
- Commuter benefits
- Dental insurance
- FSA
- HSA
- Health insurance
- Paid Holidays
- Paid time off
- Team activity budget
- Vision insurance