Senior SWE / ML Engineer - Identity & Audience
Tasks
- Build user and household clustering algorithms
- Design identity resolution pipelines
- Develop identity resolution tooling for teams
- Execute end-to-end ML projects
- Improve large scale event processing
- Manage performance and cost at scale
- Operate production identity stack
- Plan scalable architectures
- Surface tradeoffs and risks to stakeholders
- Translate stakeholder requirements into deliverables
Perks/Benefits
Skills/Tech-stack
Clustering | Cost Management | Dagster | Data Pipelines | Data orchestration | Distributed Computing | Iceberg | Identity resolution | Large-scale | Large-scale storage | Machine Learning | Performance optimization | Real Time | Real-time Systems | Spark | Streaming TV | Streaming TV Advertising | TV Advertising | Time Systems
Education
N/A
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