Related skills
snowflake python kafka spark apache airflow๐ Description
- Build and launch production ML models at scale.
- Develop features with measurable success metrics.
- Apply ML to fraud detection, ranking, recommendations and targeting.
- Set up AB experiments and iterate to impact.
- Hands-on work on backend ML systems and data processing.
- Collaborate cross-functionally to align product strategy.
๐ฏ Requirements
- 12+ yrs of industry ML engineering experience
- Experience with ML models (logistic regression, GBMs, DL)
- Data analysis, feature exploration, ETL, and visualization
- Experience in data mining, information retrieval, NLP or CV
- Backend systems built at scale for data processing and ML
- Demonstrate core values: energy, clear communication, curiosity, builder
๐ Benefits
- Remote-friendly culture with in-person team offsites
- Equal opportunity employer with commitment to inclusion
- Disability accommodations available
- Medical, dental, vision and 401(k) benefits
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