3 months ago
Paris, FranceMid Level
Responsibilities
- Build pipelines for place and location-related data.
- Work with noisy real-world signals and large geospatial datasets.
- Improve the quality, reliability, and observability of derived datasets.
- Define metrics and feedback loops for data quality and attribution.
- Prototype using Python, SQL, notebooks, or similar tools.
- Integrate scoped production experiments with backend systems.
- Run offline evaluations and A/B tests where relevant.
Requirements
- Strong Python and SQL skills.
- Production experience with Python or Scala.
- Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.
- Experience working with large datasets and data pipelines.
- Experience with geospatial data, POI datasets, place matching, or similar real-world entity data.
- Comfort with metrics, experimentation, and data-quality measurement.
- Comfort working near backend systems and reading production code.
- Preferred experience includes maps, mobility, local search, POI data, geospatial systems, ranking, recommendations, embeddings, entity resolution, Flink or similar stream-processing systems, and reading or making scoped changes in Rust-backed systems.
Benefits
- Onsite five days per week in a central Paris office near Opera.
- Health care with 100% coverage.
- Maternity, paternity, and second-parent leave with salary maintained at 100%.
- Eight to nine weeks of total vacation per year, including five weeks of state-paid time off, one to two additional RTT weeks, and approximately 11 bank holidays.
- Company shutdowns for two weeks in summer and one week in winter, included in total vacation time.
About amo
Amo builds consumer social apps for mobile, focusing on formats that blend short-form content and creator-led communities. Its current priority is Bump, a culture-driven app targeting Gen Z users, with an initial push in Brazil’s App Store. The company is privately held, headquartered in Paris, and raised a seed round in 2023.