Senior Machine Learning Engineer, Developer Advocacy | US | Remote
Tasks
- Build feature pipelines
- Build recommendation models
- Collaborate with software engineers for production implementation
- Define recommendation quality metrics offline and online
- Deploy recommendation services
- Design candidate ranking sequencing and next best action
- Develop experiment design and evaluation methodology
- Integrate improvements into existing recommender
- Iterate models using real time behavior and metadata
- Operate and monitor recommendation systems
- Translate ambiguous needs into testable hypotheses
Perks/Benefits
Skills/Tech-stack
Behavioral Data | Data Pipelines | Data Quality | Distributed Systems | Evaluation metrics | Experimentation | Feature Engineering | GRPC | Go | HTTP | Machine Learning | Matching | Model Monitoring | Next Best Action | Offline/Online Evaluation | Online evaluation | Personalization | Propensity Modeling | Ranking | Recommendation Systems | SaaS telemetry | Search | Streaming | TypeScript | Version control
Education
N/A
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