Related skills
nlp sql python ranking embeddingsπ Description
- Build NLP models to extract signals from publisher content.
- Develop embeddings and semantic similarity for retrieval and categorization.
- Create scalable evaluation frameworks for content models.
- Convert content signals into targeting features for matching.
- Define scalable feature sets with latency and privacy in mind.
- Own end-to-end ML delivery with productionization and governance.
π― Requirements
- 5+ years in data science / ML with production models.
- Strong Python and SQL; large-scale data; Spark/Databricks.
- Deep NLP experience: text classification, information extraction, embeddings.
- Experience with recommender/ranking methods.
- Strong experimentation: design, analysis, interpretation of A/B tests.
- Able to work in ambiguity and own end-to-end delivery.
π Benefits
- Flexible working: Responsible PTO policy.
- Health and Wellness: up to 12 therapy sessions/year plus gym refund.
- A stake in growth: RSUs with a 3-year vesting schedule.
- Investing in your growth: Coursera access and PXA courses.
- Parental support: 26 weeks paid leave for primary caregiver.
- Technology financial support: home office stipend and internet allowance.
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